0000 %# Note that I get different results than your example!Basically that bsxfun(@eq translates to pdist2()==0, which you might have used before. 0. distfun must accept a matrix XJ with an arbitrary number of rows. ; Home automation: To maintain security, especially in a home that is. Write case names to an ascii file. Link. % requiring few or no loops. Accepted Answer . 0. % n = norm (v) returns the Euclidean norm of vector v. Two sets of matrix. Rows of X and Y correspond to observations, and columns correspond to variables. tic; d2 = pdist2 (p1,pn); t2 (p) = toc; end. 尝试类似的方法，比如. . pdist1 and pdist2 The library can compute distances between pair of observations in one vector using pdist1, and distances between pair of observations in two vectors using pdist2. Rik on 12 Oct 2023 at 19:13 I don't expect the performance to be great, but you can use the option of specifying the distance calculation function. pdist2 computes the distances between observations in two matrices and also returns a distance matrix. ^2 computes the distance matrix. 计算 X 中各对行向量的相互距离 (X是一个m-by-n的矩阵). I use the pdist2 function to calculate the the distance between the points stored in matricies. I would like to use the command pdist2 in order to compute distance between two geographical coordinates. Vote. m. If so, the hypot function would work best. % ZJ is an m2-by-n matrix containing multiple observations. for i=1:m. Centroid); [distances_min, distances_min_index] = min (distances); Also, I have to calculate this. The Canberra distance between two points u and v is. calculate_distance. It's hard to tell without knowing what dtw2 is. In your example code you compute the distance between two points. 7. An m A by n array of m A original observations in an n -dimensional space. Shai Shai. Hot Network Questionsisequal (k1,k2) nnz (k1-k2) The results k1 and k2 are identical (in some cases not, due to the internal numerical properties of pdist2). Nowadays you are probably better of using Matlabs fast compiled version, pdist2; which is about 200% faster when the number of vectors are large. pdist2 calculates the distances between points in two vectors and returns a vector which. distance import pdist, squareform # my list of strings strings = ["hello","hallo","choco"] # prepare 2 dimensional array M x N (M entries (3) with N. D = pdist2 (X,Y,Distance) returns the distance between each pair of observations in X and Y using the metric specified by Distance. comparison of two histograms using pdist2. Hello, I am using matlab 2019a and I am trying to sort points based on comparing the distance between them. D = PDIST2(X,Y) returns a matrix D containing the Euclidean distances between each pair of observations in the MX-by-N data matrix X and MY-by-N data matrix Y. Goncalves. Parameters: XAarray_like. Follow answered Jan 14, 2014 at 17:10. In human motion analysis, a commond need is the computation of the distance between defferent point sets. You could save half the time by computing each pair only once. Description. Copy. X is a 50*3 matrix, Y is a 60*3 matrix. % Get the value from column 1. Keystone paper codes. Given X = randu(3, 2), Y = randu(3, 2), where each row stores an observation (x, y). 따라서, D1(1,1), D1(1,2), D1(1,3)은 NaN 값입니다. Here pdist2(XN,XM). cdist (array, axis=0) function calculates the distance between each pair of the two collections of inputs. pl. pdist (X): Euclidean distance between pairs of observations in X. Instruction to use the function in the files. D = pdist2 (X,Y) returns a matrix D containing the Euclidean distances. and the reshape() gives a 2D array. % ZI is a 1-by-n vector containing a single observation. It measures the separation of two groups of objects. The simplest form of clustergram clusters the rows or columns of a data set. n = norm (v,p) returns the p -norm of symbolic vector v. 1 Answer. D = pdist2 (X,Y) returns a matrix D containing the Euclidean distances. Rows of X and Y correspond to observations, That is, it works on the ROWS of the matrices. numexpr is a python package that allows for efficient and parallelized array operations on numpy arrays. A distance metric is a function that defines a distance between two observations. Here you can see which matrices are equal to which ones - 5th and 10th are equal to 1st, 6th and 7th are equal to 2nd and 9th is equal to 3rd. D = pdist2 (X,Y,Distance,DistParameter) returns the distance using the metric specified by Distance and DistParameter. Learn more about matrix manipulation, distance, pdist2, matlab function, indexing, matrix, arrays MATLAB I was wondering if there is a built in matlab fucntion that calculates the distance between two arrays that don't have the. 93847 0. I have a vector X which contain x and y value in column 1 and 2 respectively. D = pdist2 (X,Y) returns a matrix D containing the Euclidean distances. D = PDIST2(X,Y) returns a matrix D containing the Euclidean distances between each pair of observations in the MX-by-N data matrix X and MY-by-N data matrix Y. Given a matrix A of size [N,3] and a matrix B of size [M,3], you can use the pdist2 function to get a matrix of size [M,N] containing all the pairwise distances. Function File: pdist2 (x, y, metric) Compute pairwise distance between two sets of vectors. Goncalves. Select a Web Site. Viewed 434 times 0 I'm trying to compare the histogram of an image (hsv) with a cell array that contains the histograms of other images in order to find out the closest matches. Learn more about histogram comparison, image comparison, image segmentation, distance comparison, chi-square Image Processing Toolbox hi, I am having two Images I wanted compare these two Images by histograms I have read about pdist that provides 'chisq' but i think the way i am doing is not correct. Modified 8 years, 5 months ago. 7 (numpy)? 1. Réponse acceptée. Warning: Converting input data to single. You can use the pdist2 MATLAB / Octave function to calculate pairwise distances between two sets of observations. Calculates the distance between sets of vectors. Sign in to your MathWorks Account or create a new one. Minkowski distance and pdist. 2 Answers. gitattributes","contentType":"file"},{"name":"FisherClassify. procrustes: Procrustes Analysis. gitattributes","path":". D = pdist2 (X,Y,Distance) returns the distance between each pair of observations in X and Y using the metric specified by Distance. 的样本平均值. Pair distribution functions were calculated using Matlab’s ‘pdist2’. I'm making a set of functions in C for simulate a microcanonial ensamble (a periodic-bounded box with N particles with fixed Energy and Volume). d(u, v) = max i | ui − vi |. I have two sets of data phi1 and phi2, and I'd like to know what the pairwise distances are for these two sets. Computes. m. % n = norm (v) returns the Euclidean norm of vector v. Y = cdist(XA, XB, 'hamming'). After the preliminaries are out of the way, pdist2 has the following-- % Call a mex file to compute distances for the build-in distance measures % on non-sparse real float (double or single) data. D = pdist2(X,Y) returns a matrix D containing the Euclidean distances between each pair of observations in the MX-by-N data matrix X andUsing angdiff with pdist2 for angle data. Ignore that code (I'll delete it) and use this instead: timeStamps = rand (numPoints1, 1) % Sample data. 1、y = squareform (x) x 是对称的距离矩阵，对角线元素都为0，y=dist. I'm sorry, you are correct. The Chebyshev distance between two n-vectors u and v is the maximum norm-1 distance between their respective elements. pydist2 is a python library that provides a set of methods for calculating distances between observations. Copy. pdist_oneLine. . squareform returns a symmetric matrix where Z (i,j) corresponds to the pairwise distance between observations i and j. Sign in to comment. It will give you the best groups in aggregate that are farthest away though it's possible some from group1 are closer to some points in group2 that you'd prefer. X. If instead there is an efficient algorithm for what pdist2 does, you can research it and possibly write your own variation that. I also know that pdist2 can help reduce the time for calculation but since I am using version 7. These measures are useful to determine whether the coocurrence of two random events is meaningful. CHAPTER ONE PYDIST2 pydist2isapythonlibrarythatprovidesasetofmethodsforcalculatingdistancesbetweenobservations. It computes the distances between rows of X. Rows of X and Y correspond to observations, and columns correspond to variables. Copy. These are supported by simple classes that are available in the distance module, and also by a pair of classes of the main pdist1 and pdist2 classes. 23. The logical negation ~ gives 1 for those pairs of rows, and 0 otherwise. An m A by n array of m A original observations in an n -dimensional space. . If observation i in X or observation j in Y contains NaN values, the function pdist2 returns NaN for the pairwise distance between i and j. remoteBlockExecutionPlain (line 49) In spmdlang. tumor,F (i). Clustering. The most efficient pairwise distance computation. The Canberra distance between two points u and v is. My problem is taking those distances out of the matrix and finding the smallest combined distance for each unique set of X to Y measurements. Share. Sign in to answer this question. 特征，可以认为是描述事物的一个特性。. I thought it will comes up with skeleton line and show the length beneath of the line. Now I want to create a mxn matrix such that (i,j) element represents the distance from ith point of mx2 matrix to jth point of nx2 matrix. Unlike pdist, pdist2 takes two sets of data X = { x i } i = 1 m and Y = { y j } j = 1 m and compute m n number of pairwise distances for all i and j. Create distance matrix from the result of pdist. I've found the right answer (by Gunther Struyf): Sort Coordinates Points in Matlab. Improve this answer. We assume that a connectivity matrix is given. . rema on 16 Feb 2023. y = squareform (Z)That's a no-no for 'pdist2'. This function can do both - it will function like pdist if only one set of observations is provided and will function like pdist2 if two. pattern = [1 2 3]; out = cellfun (@ (x) ~isempty (strfind (x,pattern)),C) %// or as suggested by Luis Mendo out = cellfun (@ (x) isequal (x,pattern),C) ind = find (out) if the order within the arrays does not matter, also the following using ismember and all is. One way is to call regionprops() to get the centroids of the two blobs. Connect and share knowledge within a single location that is structured and easy to search. Matlab 距离函数pdist pdist2. If you want the cosine, use 1-pdist2 (matrix1,matrix2,'cosine'). D = pdist2 (X,Y,Distance,DistParameter) returns the distance using the metric specified by Distance and DistParameter. 看看这是否会给你带来与. Copy. Q&A for work. % accept a matrix. But of course you should plug in your actual data and results will probably be better. 使用四个预处理器指令来控制条件编译：. %. slicesample: Draws NSAMPLES samples from a target stationary distribution PDF using slice sampling of Radford M. Location,labels) colormap (hsv (numClusters)) title ( 'Point Cloud Clusters')Select a Web Site. Learn more about histogram comparison, image comparison, image segmentation, distance comparison, chi-square Image Processing Toolbox hi, I am having two Images I wanted compare these two Images by histograms I have read about pdist that provides 'chisq' but i think the way i am doing is not correct. 2. Learn more about cosine similarity, cosine distance, jaccard similarity, jaccard distance, similarity, dissimilarity, bin counts, histogram, histcount, pdist, pdist2, distance, vectors, arrays I would like to assess the similarity between two "bin counts" (that I previously derived through the "histcounts" function), by using the "pdist2. Rows of X and Y correspond to observations, That is, it works on the ROWS of the matrices. distance. Learn more about matlab, pdist2, matrixpdist2 function. MATLAB 距离函数及用法. Copy. I know the distance(lat1,lon1,lat2,lon2) command is the suitable for this but I want to use pdist2 command. squareform (a. I suppose x and y are matrixes, so you are using pdist2 to compute the distance between the observation i (from x(i)) and j (from y(j)). example. pdist2 calculates the distances between observations in two vectors with one of the following methods: manhattan: The L1 distance between two vectors P and Q is defined. E=pdist2（X，Y-mean（X），'mahalanobis'，S）. I would like to use the command pdist2 in order to compute distance between two geographical coordinates. , (2, , corresponds to the distance between objects. pl can perform Gene Ontology Analysis, genomic feature association analysis (Genome Ontology), associate peaks with gene expression. In Matlab there exists the pdist2 command. of matlab I do not have the pdist2 function. From the documentation: Returns a condensed distance matrix Y. If you want to order the points from B by their distance to the r th point in A then you can sort the r th row of the pairwise distance matrix. % accept a matrix ZJ with an arbitrary number of observations. ,an｝，将它们按大小顺序排列，取中间的那个值作为滤波器的输出。 @Lukas Gaßmann Start your own question with your EEG data attached in a . Y = cdist(XA, XB, 'jaccard'). Both represent a number of positions in 3D-space. comparison of two histograms using pdist2. For this example you will cluster the data using the Hamming distance because this is an appropriate distance metric for categorical data as illustrated below. I use matlab to calculate the distance transform of a binary image, and I found that bwdist () can calculate distances of all the points of the image, but I just want to know the distance of a special point. Now, it is confirmed that I do not have a license. NaN 값이 갖는 좌표를 무시하는 사용자 지정 거리 함수 nanhamdist를 정의하고 해밍 거리를 계산합니다. to see if you have multiple pdist2, and use pathtool to make sure that the Statistics Toolbox one is earlier on your search path. Share. A= [0 0, -5. function Distance = euclidean (x,y) % This function replaces the function pdist2 available only at the Machine. This is unreproducible for me as well. MY-by-N data matrix Y. . stats. Learn more about matrix manipulation, distance, pdist2, matlab function, indexing, matrix, arrays MATLAB. However, manually defining the cell array is a limitation here. 一、pdist 和 pdist2 是MATLAB中用于计算距离矩阵的两个不同函数，它们的区别在于输入和输出以及一些计算选项。选项：与pdist相比，pdist2可以使用不同的距离度量方式，还可以提供其他选项来自定义距离计算的行为。输出：距离矩阵是一个矩阵，其中每个元素表示第一组点中的一个点与第二组点中的. You do that using pdist and then squareform: kernel = @ (X,sigma) exp ( (-squareform (pdist (X,'euclidean')). Then I call the "load_training_data" method of NeuralNetworkSolution, in the "run" method of ConsoleApplication, with the correct number of arguments. The. Matlab-pdist2函数用法. Therearetwo. lat<= loc. Hello StackOverflow community, I'm having a hard time wrapping my head around a problem I'm having in MATLAB. I don’t know what format your latitude and longitude arrays are (I assume decimal degrees rather than ‘d:m:s’). The following example shows the WDATP configuration service provider in tree format as used by the Open Mobile Alliance (OMA). If I answered with something as broad as you have asked, I would say "using diff or subtracting one vector from another". 1. . example [ idx , corepts ] = dbscan( ___ ) also returns a logical vector corepts that contains the core points identified by dbscan , using any of the input argument combinations in the. on 16 Feb 2023. We can use it as follows to perform the same computation as above: import numpy as np import numexpr as ne X_norm = np. Mahalanobis distance is also called quadratic distance. Utilice kmeans para crear grupos en MATLAB® y utilice pdist2 en el código generado para asignar nuevos datos a grupos existentes. . Suppose we have two groups with means and , Mahalanobis distance is given by the following. Hot Network Questions Probability threshold in ROC curve analyses Can one walk across the border between Singapore and Malaysia via the Johor–Singapore Causeway at any time in the day/night? Using `any` to indicate a wildcard value. In this case however, I want to create a graph where the edges of the square are wrapped, that is, the leftmost (or topmost) points are also connected to the. if i go like this the matrix size increase, so I want to reduce minutiae information which is in row. Technical support available in 10 languages via telephone, email, and the web. A “good” model should have largepdist2 in numpy? (compute pairwise distance between rows in two matrices) 0. where is the mean of the elements of vector v, and is the dot product of and . Here you can see which matrices are equal to which ones - 5th and 10th are equal to 1st, 6th and 7th are equal to 2nd and 9th is equal to 3rd. Different behaviour for pdist and pdist2. n = norm (A) returns the 2 -norm of symbolic matrix A . ^2) K_sigmoid = tanh (gamma*X*Y' + b); X and Y are matrices where the rows are the data points (vectors). Later on, after some calculations with the newly transformed matrix, I need to convert it back to the original size in order to display the image. Therefore, D1(1,1), D1(1,2), and D1(1,3) are NaN values. In the meantime, try the code below and if it helps you click on the Vote button near my top answer. An m by n array of m original observations in an n-dimensional space. % Calculates the distance between sets of vectors. However, generally the manual calculation is slightly faster or. View self-paced courses | Search documentation, examples, and videos. In a MATLAB code I am using the kullback_leibler_divergence dissimilarity function that can be found here. pdist is working fine and the stats toolbox is set in the path. D = pdist2(color_table, reshape(im, [ht*wid, 3])); end. b = load (fullFileName); %puts it into an array, size varies as the loop runs through the 32 files!!! FileRMSdata = b. % accept a matrix ZJ with an arbitrary number of observations. Then pdist2 should work. Compute the Euclidean distance between pairs of observations, and convert the distance vector to a matrix using squareform. Theme Copy D = pdist2. The double-loop above has O(N²) complexity. 4. E=pdist2（X，Y-mean（X），'mahalanobis'，S）. It can be calculated as follows: D = A*B' + (1-A)* (1-B)'; The final distance measure can be done by testing for each pair. In human motion analysis, a commond need is the computation of the distance between defferent point sets. example. computes the Euclidean distance between pairs of objects in . n = norm (v) returns the 2 -norm of symbolic vector v. if i go like this the matrix size increase, so I want to reduce minutiae information which is in row. Create a matrix with three observations and two. Feature points (read corners) in images are points that invariant under view changes, zoom, lightening conditions etc. In pdist2 (line 219) In extractFeaturesU (line 93) The code line that is returning a warning message is: [distance, position] = sort (pdist2 (double (repmat (featuresA, size (xPoints, 1))), featuresB), 2, 'ascend'); The part of the code containing the above line is displayed below. Parameters: XAarray_like. Function File: pdist2 (x, y, metric) Compute pairwise distance between two sets of vectors. I have a matrix. It computes the pairwise. between each pair of observations in the MX-by-N data matrix X and. Copy. You can use various metrics to determine the distance, described next. m","path":"FastMICE_ConsensusFunction. This would be done automatically by the compiler if pdist2 were not a template function:. Upgrade is not an option. %. 8k 7 7 gold badges 57 57 silver badges 100 100 bronze badges. With the knowledge of camera calibration and Epipolar Geometry, we can now improve the result we get from project 2 for keypoints matching. Ultimately, the idea is that all the sparse. 比如说我们描述一个人，可以使用的特征很多，身高，体重，性别等等，这些特征往往都会有相应的值，身高 (180 cm)，体重 (70 kg)，性别 (男，女)。. % Isolate data that are within a square around the circle. distance. pdist (Statistics Toolbox) Y = pdist (X,' Y = pdist (X,distfun,p1,p2,. . [~,cluster] = pdist2(C,testset, 'squaredeuclidean', 'Smallest',1); % Convert cluster IDs to training group IDs. matlab Pdist2 with mahalanobis metric. From help pdist2: 'cosine' - One minus the cosine of the included angle between observations (treated as vectors) Since the cosine varies between -1 and 1, the result of pdist2 (. However, generally the manual calculation is slightly faster or. Pdist2 inside for. axis: Axis along which to be computed. out. Pass a single point for each of the first two arguments to pdist2 and the result will be a single distance. It uses the same variable names from my answer. file began to complain that "??index=linspace (1,size (points,1),size (points,1)); is the strangest way I've seen of simply doing: Theme. Define a custom distance function nanhamdist that ignores coordinates with NaN values and computes the Hamming distance. 2. pdist is working fine and the stats toolbox is set in the path. . the first pdist2 works fine, any help would be appreciated 0 Comments. % pairwise mahalanobis distance with pdist2() E = pdist2(X,Y,'mahalanobis',S); % outputs an 50*60 matrix with each ij-th element the pairwise distance between element X(i,:) and Y(j,:) based on the covariance matrix of X: nancov(X) %{ so this is harder to interpret than mahal(), as elements of Y are not just compared to. The distance metric to use. For example, you can find the distance between observations 2 and 3. Start at the beginning of border poly point 0: Find the line where border [i]. To check if an object has an attribute: if hasattr (obj, 'attr_name'): #. 可以这样理解 D 的生成：首先生成一个 X 的距离方阵，由于该方阵是对称的，且对角线上的元素为0，所以取此方阵的下三角元素. {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":". D = pdist2 (X,Y,Distance,DistParameter) returns the distance using the metric specified by Distance and DistParameter. During a chess tournament, grand master. xy = rand (5, 2); distances = pdist2 (xy, xy) S = sum (distances) This code will give all sum of distances between the points, now the point having minimum distance. clear A = rand (132,6); % input matrix diss_mat = pdist (A,'@kullback_leibler_divergence'); % calculate the. Run this line of code which should open the directory where this function is stored and look for that function (for Windows) winopen (fullfile (matlabroot,'toolboxoptimoptim')) If the file exists, the path has somehow been removed. However, I use this matrix in a loop like this : for i:1:n find (Distance (i,:) <= epsilon);. MatrixXT<double> pdist2(const MatrixXT<double>&,const. 0. The points are arranged as m n-dimensional row vectors in. 0. When there are a lot of points, I want to find the minimum distances of all points from neighboring points. If you have the Statistics Toolbox: Response = ~(pdist2(index, A)); or: Response = ~(pdist2(index, A, 'hamming')); This works because pdist2 computes the distance between each pair of rows. For a 2D input case, you can define a kernel function that takes two inputs and returns a scalar value. Show -1 older comments Hide -1 older comments. for k = 1:length (BLOCK) plot (TIME (k),BLOCK (k)) if k == 1. computes the distance between objects in the data matrix, , using the method. , is a vector of length ), (2,3),. In order to visualize the final result just add to Gunther's code the following lines: row=data (:,1); col=data (:,2); figure scatter (row,col,'r'); hold on line (row (result),col (result)); The following code shows the same algorithm but for a 3D. If we want to implement this in Eigen, a C++ library for doing linear algebra much in the same manner as in Matlab, we can do it in the following way,so I do that for every point, to find the distance to every other point. To save memory on the device, you can separate training and prediction by using kmeans and pdist2, respectively. Fit a GPR model using the custom kernel function, kfcn . I mean a 1-to-1 mapping of points. 1 − u ⋅ v ‖ u ‖ 2 ‖ v ‖ 2. Learn the Essentials, Build Skills. 您可以指定 DistParameter 只有当 Distance 是 'seuclidean', 'minkowski' ，或 'mahalanobis'. 63649 0. D = pdist2 (X,Y,Distance,DistParameter) returns the distance using the metric specified by Distance and DistParameter. md","path":"README. Z (2,3) ans = 0. Theme. Very clever - I wouldn't have thought about the pdist2 function (+1). Centroid, blobMeasurements (j). function Distance = euclidean (x,y) % This function replaces the function pdist2 available only at the Machine. Fowzi barznji on 16 Mar 2020. In Matlab there exists the pdist2 command. Examplesdpav4. % generate some example data N = 4 M. This norm is also. 可以这样理解 D 的生成：首先生成一个 X 的距离方阵，由于该方阵是对称的，且对角线上的元素为0，所以取此方阵的下三角元素. pdist is working fine and the stats toolbox is set in the path. Given the matrix mx2 and the matrix nx2, each row of matrices represents a 2d point. Now you have the intersection to the ocean: Calculate the distance. D is an MX-by-MY matrix, with the (I,J) entry equal to distance between observation I in X and. MY-by-N data matrix Y. Keystone paper codes Requires MATLAB 2019a or newer. Mapping Toolbox supports a complete workflow for managing geographic data. you also define a custom distance function. In your example code you compute the distance between two points. The matrix must be positive definite which is not the same as having positive entries. The problem is that Matrix<double, 3, 5> and MatrixXT<double> are not the same type, therefore, the only way to pass the former to pdist2 is to convert it to a MatrixXT<double>. Any help. example. 82215. mat file and we'll show you how you can use pdist2() to find close points. distance. function D2 = DISTFUN(ZI,ZJ)This can be done in pdist2. 这里 X 是 mx-by-n 维矩阵，Y 是 my-by-n 维矩阵，生成 mx-by-my 维距离矩阵 D。. You can use various metrics to determine the distance, described next. Feb 25, 2018 at 9:36. In this workflow, you must pass training data, which can be of considerable size. Use pdist2 to find the distance between a set of data and query points. end. Z (2,3) ans = 0. Theme. Copy. pdist2. For further examples and tests, run. Data can be combined with base map. 4 Descriptive measures of linear association between X and Y It follows from SST = SSR+SSE that 1= SSR SST + SSE SST where • SSR SST is the proportion of Total sum of squares that can be explained/predicted by the predictor X • SSE SST is the proportion of Total sum of squares that caused by the random effect. m or remove that directory from your MATLAB path. If you are getting the matrices as an output from some code, I strongly recommend you directly store them. m from the command line and get the following error: HW3. The idx that results will have as many rows as first_xyz has, and the value will be the index of which second_xyz row is closest to that point; the mindist value will tell you how. kmedoids can use any distance metric supported by pdist2 to cluster. Sign in to answer this question. These code has been written as part of the project I have performed in image processing course some time ago. The result comes with so much noise and i cannot see the result of length measurement. * t, 2)) creates the complete t . D = pdist2 (X,Y,Distance) returns the distance between each pair of observations in X and Y using the metric specified by Distance. I have a matrix A and I compute the dissimilarity matrix using the downloaded function. Categorizing query points based on their distance to points in a training data set can be a simple yet effective way of classifying new points. tic; d2 = pdist2 (p1,pn); t2 (p) = toc; end. The version I posted uses pdist2 out of the Statistics toolbox. B = [38. pdist2 Pairwise distance between two sets of observations.