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updated 9 days ago

Pattern Recognition Toolbox by Peter

Free pattern recognition toolbox for MATLAB (machine learning, pattern recognition, svm)

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updated 1 month ago

kmeans_mt by Haw-Shiuan Chang

Efficient Kmeans using Multiple Threads (kmeans, multiple threads, efficient)

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updated 2 months ago

Clustering via Voting Maximization by Costas Panagiotakis

Implementation of CVR and CVR-LMV [1-2] methods for clustering. (clustering, kmeans, partition)

Hungarian(Perf)

getAccuracy(GT,C)

getError.m

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updated 10 months ago

Fast kmeans Algorithm Code by ankit dixit

A Very fast and efficient Implementation for kmeans clustering of an Image or Array. (kmeans, color image segmentat...)

kmeans_fast_Color(im,no_of_cluster,varargin)

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updated 1 year ago

K-medoids by Mo Chen

K-medoids clustering algorithm (clustering, kmedoids, kmeans)

kmedoids(X,k)

spread(X, label)

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updated 1 year ago

Semi Automatic Medical Image 3D segmentation by Brad Moffat

This performs matlab clustering fuzzy cmeans or kmeans on a freehand roi. (image processing, dicom, nii)

[hdist,xydata2,dist,cdp]=auto_rano_roi(varargin)

sami_3d_clust(data,nclust,varargin)

sami_3d_clust_m(data,nclust,varargin)

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updated 1 year ago

KMeans Segmentation. by Diego

Kmeans code. (kmeans, segmentation)

miKmeans.m

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updated 1 year ago

clusterData by Brett Shoelson

Clusters an MxN array of data into an unspecified number (P) of bins. (cluster, clustering, data analysis)

clusterData(data, sensitivity)

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updated 1 year ago

Fast segmentation of N-dimensional grayscale images by Anton Semechko

Partition N-D grayscale image into c classes using efficient C-means and fuzzy C-means clustering (image segmentation, fuzzy cmeans, cmeans)

DemoFCM

L=LUT2label(im,LUT)

Umap=FM2map(im,U,H)

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updated 1 year ago

welchanovawd by Antonio Trujillo-Ortiz

Welch ANOVA Test for Unequal Variances without data. (anova, heteroscedasticity, kmeans)

welchanovawd.m

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updated 1 year ago

Gap statistics by Alessandro Crimi

Algorithm for cluster validity index, R. Tibshirani et al. 2001 (cluster, validity index, kmeans)

gap_statistics(data, num_clusters, num_reference_bootstra...

test_gap_statistics(test_datas)

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updated 1 year ago

k-means++ by Laurent S

Cluster multivariate data using the k-means++ algorithm. (data mining, clustering, kmeans)

kmeans(X,k)

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updated 2 years ago

Customized K-Means by Nirmal

Customized K-means where you can choose different initial cluster centroid. (kmeans, clustering)

[class,centroid,counter]=MyKMeans(data,k,option,init_cent...

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updated 2 years ago

k-means clustering algorithm by Craig

Performs one step of the k-means clustering algorithm (kmeans, k means, average)

kmean(img,means)

Example.m

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updated 2 years ago

pbootkanovahet by Antonio Trujillo-Ortiz

Parametric Bootstrap ANOVA under Heteroscedasticity Krishnamoorthy's Procedure. (bootstrap, parametric, anova)

pbootkanovahet.m

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updated 2 years ago

welchanova by Antonio Trujillo-Ortiz

Welch ANOVA Test for Unequal Variances. (anova, welch test, kmeans)

welchanova.m

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updated 2 years ago

kmeans clustering by Mo Chen

Fully vectorized kmeans algorithm. Fast yet simple (10 lines) (kmeans, clustering, vector quantization)

litekmeans(X, k)

spread(X, label)

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updated 2 years ago

K-means++: kmeans algorithm with smart seeding by Mo Chen

This is an implementation of the paper k-means++: the advantages of careful seeding. (clustering, kmeans, data analysis)

kmeanspp(X, k)

spread(X, label)

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updated 2 years ago

Kernel k-means by Mo Chen

kernel k-means algorithm (kernel, kmeans, clustering)

knkmeans(K,init)

spread(X, label)

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updated 3 years ago

The Spherical K-means algorithm by Xuan Vinh Nguyen

Clustering on the hypersphere with the Spherical K-means algorithm (kmeans, spherical kmeans, clustering)

[best_x,best_f,best_membership,empty,loop]=SPKmeans(a,K,n...

b=normalize_norm(a)

b=normalize_norm_mean(a)

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updated 3 years ago

Fast K-means by Tim Benham

Fast K-means implementation with optional weights and K-means++ style seeding. (clustering, kmeans, weighted kmeans)

fkmeans(X, k, options)

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updated 3 years ago

K-means image segmentation by Pablo Fonseca

K-means image segmentation based on histogram to reduce memory usage which is constant for any size. (kmeans, image, clustering)

kmeansclustering(im, k)

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updated 4 years ago

KMeans Segmentation - MEX by Ahmad

Given N data elements of R dimensions (N x R matrix), it segregates the n elements into k clusters (kmeans, segmentation, clustering)

kmeansK( data_vecs, k )

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updated 4 years ago

classification k-means by Edgar Bernal-Flores

matrix where the values of each position is the distance of one class to another class. (kmeans)

crit_kmeans_unifor(k,datos)

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updated 4 years ago

k-means algorithm by Tyler London

Runs the k-means algorithm on N random points on a given shape. (kmeans, signal processing, can anyone help me ou...)

kMeans(numPoints, numClusters, shape, drawOn, showOn)

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updated almost 5 years ago

Wrapper of the jMEF java library by Sylvain Boltz

Matlab Wrapper for jMEF : A Java library to process mixtures of exponential families (exponential families, kullback leibler dive..., gaussian)

demo1

demo2

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updated 5 years ago

Expectation Maximization of Gaussian Mixture Models via CUDA by Andrew Harp

CUDA enabled parallel EM for Gaussian Mixture Models, providing over 100x performance increases. (gpu, cuda, gmm)

errorellipse(mu,sigma,stdev,n)

gmm_test(num_clusts, num_dims, num_samps, num_steps, num_...

nvmex(varargin)

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updated almost 6 years ago

Hill-Climbing Color Image Segmentation by YIQUN

color image segmentation using hill-climbing algorithm and kmeans in CIE Lab. (segmentation, image processing, kmeans)

HillClimbingSegment.m

RGB2Lab(R,G,B)

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updated 6 years ago

Efficient K-Means Clustering using JIT by Yi Cao

A simple but fast tool for K-means clustering (statistics, probability, kmeans)

[gIdx,c]=k_means(X,k)

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updated almost 8 years ago

k-Means Projective Clustering by Yohai Devir

Perform projective clusterig (statistics, probability, projective clustering)

kMeansProjClustering(pointsCoords, k, options)

setDefaultValues(myStruct,varargin)

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updated 8 years ago

Vector Quantization - K-Means by Esfandiar Zavarehei

A simple algorithm for training codebooks for vector quantizationusing K-Means algorithm. (dsp, vector quantization, kmeans)

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updated 9 years ago

Fuzzy c-means thresholding by Guanglei Xiong

Thresholding by 3-class fuzzy c-means clustering. (filtering, threshold fuzzy cmean..., kmeans)

[bw,level]=fcmthresh(IM,sw)

testfcmthresh.m

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updated 9 years ago

Clustering and Data Analysis Toolbox by Janos Abonyi

The toolbox provides four categories of functions. (fuzzy logic, neural networks, fuzzy clustering)

FCMclust(data,param)

FuzSam(proj,result,param)

GGclust(data,param)

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updated 10 years ago

kmeans-ISODATA algotithm by Jose Rodriguez

Clustering algorithm of k-means and ISODATA. (statistics, probability, kmeans)

isodata.m

kmedia(X,Y,k)

provaisodata.m

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