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updated almost 2 years 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 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 almost 3 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 2 years ago

Fast K-means clustering by Sebastien PARIS

Fast mex K-means clustering algorithm with possibility of K-mean++ initialization. (statistics, image processing, mathematics)

test_yael_kmeans

gene_mvgm(d , K , sig)

mexme_yael_kmeans(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 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 4 years ago

k_means cluster by lulu ?

use k_means to cluster a mount of data (cluster)

y=kmeans(data,k)

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updated 7 years ago

K-means algorithm demo by Mauricio Martinez-Garcia

A simple implementation of the kmeans algorithm (dsp, kmeans vector quantiz...)

simple_kmeans(X,K,maxerr)

km_demo.m

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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 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 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 10 days ago

k-means clustering by Daniel Grewal

A k-means algorithm for clustering which automatically produces scatterplot of data as well. (kmeans, clustering)

k_means_(d, k, distance)

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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 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 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 almost 3 years ago

Spherical K-means by Mo Chen

A kmeans like clustering algorithm to cluster data on a unit sphere. (clustering)

spkmeans(X, init)

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updated almost 3 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

k-means intra cluster measure by ps

to find the cluster validation in k-means by intra cluster measure coding in matlab (data mining)

intra.m

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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 11 years ago

Fuzzy k means by Budiman Minasny

Fuzzy k means clustering. (statistics, probability, clustering)

GKdist(X, Y, A)

[F,WC,BC,wilks,V,e,vexp,z,zc]=flda(data,nclass,U,centroid...

[fpi, nce, S, dJdphi]=fvalidity(U,W,centroid,dist,nclass,...

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updated 1 year ago

k means algorithm by Tianyang Wang

can be a referenced file for k means (code)

mainkmeans.m

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updated 1 year ago

K means clustering for Image Compression by Vinay Kumar Tadepalli

K-means clustering is a popular vector quantization method for data compression. (image processing, simulation, demo)

Kmeans_Pre_Post.m

kmeans_clustering.m

Image_kmeans_main.m

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updated 24 days ago

Radial Basis Function with K Mean Clustering by Shujaat Khan

Radial Basis Function with K Mean Clustering using Pseudo inverse method (kmean, clustering, rbf)

Class_IDs(NC,NS)

K_Means(X,M,D)

Kernel(X,C)

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updated 1 year ago

K Means Algorithm with the application to image compression by Jason Rebello

This program uses the K means clustering algorithm to group the pixels in an image (k means, clustering, unsupervised learning)

computeCost(X, idx, centroids, K)

computeNewCentroids(X, idx, K)

displayImage(I, XCompressed, K)

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updated 4 months ago

K Means Algorithm with the application to image compression by Jason Joseph Rebello

This program uses the K means clustering algorithm to group the pixels in an image for compression (clustering, computer vision, image compression)

computeCost(X, idx, centroids, K)

computeNewCentroids(X, idx, K)

displayImage(I, XCompressed, K)

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updated 1 month ago

Vector quantisation demonstration by Aryaa Ravieshancar

A simple demonstration of vector quantisation (vector quantisation, k means clustering)

vector_quantisation.m

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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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updated 2 years ago

K-subspaces by Masayuki Tanaka

K-subspaces provides the k-means like clustering. (statistics, mathematics, image processing)

inpnormsubspaces(SS,X)

inpsubspaces(SS, X)

ksubspaces(X,k,dim,SS,iter,ep)

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updated almost 7 years ago

KNMCluster by Timothy Felty

Calculates means and associated clusters from input data. (audio processing, video processing, k)

[means,c]=KNMCluster(k,indata)

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updated 7 months ago

KMeans_SPD_Matrices.zip by Hesamoddin

K-Means Clustering for a Population of Symmetric Positive-Definite (SPD) Matrices (kmeans clustering, symmetric positive de..., incremental karcher m...)

AreAllSym(dt)

KLS_mean(Xs)

LogEuc_mean(Xs)

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updated 5 years ago

Image Acquisition and Processing with MATLABĀ® Webinar Files by Alan Hwang

This file contains the demos used in the Image Acquisition and Processing with MATLABĀ® Webinar. (webinar, matlab, simulink)

BlisterRead(RGB)

Blister_GUI(varargin)

BlisterPackInspection.m

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updated 5 years ago

Fuzzy c-means segmentation by Santle Camilus

This program segments an image into 2 partitions using standard Fuzzy k-means algorithm. (clustering, fuzzy k means cluster..., image segmentation)

fuzzycmeans.m

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updated 9 years ago

kmeans image segmentation by Jose Vicente Manjon-Herrera

Application of kmeans clustering algorithm to segment a grey scale image on diferent classes. (morphology, segmentation, kmeans segmentation)

[mu,mask]=kmeans(ima,k)

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updated 3 years ago

Software implementations of PBKM by qi zhang

advantage of speed & performance appears under large number of clusters (clustering, large number of clust..., clustering algorithm)

IDXA=cut(n,IDX);

IDXA=divKMS(x,K);

T=cengci(x,K);

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updated 3 years ago

Software implementations of DC by qi zhang

advantage of speed compared with HAC & a stable and effective algorithm (data competition, clustering algorithm, data mining)

[new_center,cl]=update_centers(SD,II,E,K,num,center)

evalf(trueclass,cl,x,sfct)

similarity_euclid(data)

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updated 4 months ago

main20140527.zip by Michael jack

community detection use Gaussian Mixture Model (ga gmm)

main20140527.m

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updated 1 month ago

approximate methods for Laplacian images by Zhulou Cao

Three approximate methods for Laplacian image were implemented (image processing, spectral clustering, laplacian eigenmaps)

EdgeLaplacian.m

SAD2D.m

RPtreeLaplacian.m

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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 3 years ago

Color Quantization by Athi

This program reduces the number of colors present in a true color image (or indexed color image). (quantization, image processing, color reduction)

writeCSV(out_map, OutCSVName)

KMeansColorReduction.m

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updated 4 years ago

Patch color selector by Yi Cao

Selecting colors for a number of patches to avoid neighboring patches with the same color. (color patches, data exploration)

pcsel( centers, ncolor )

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updated 2 years ago

Improved Nystrom Kernel Low-rank Approximation by Kai

efficient, self-complete implementation of improved Nystrom low-rank approximation (machine learning, matrix lowrank approx..., manifold learning and...)

INys(kernel,data, m, s);

INys_KPCA(data, kernel, m);

INys_MDS(data, 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 6 years ago

gmean by Antonio Trujillo-Ortiz

Generalized mean. (statistics, probability, generalized mean)

gmean.m

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updated 3 years ago

color Image Segmentation by Athi

Segments a color image into regions. (image segmentation, segmentation, clustering)

colImgSeg(inImg, nBins, winSize, nClass)

SampleUsage.m

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updated 7 months ago

Spectral Clustering by Elie

Assemble unknown data into cluster (clustering, cluster, spectral)

spcl(data, nbclusters, varargin)

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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 5 years ago

BioMedical EDU Webinar - Statistics and Curve Fitting by Peter Perkins

Code and data used during the BioMedical EDU Webinar given on 10/8/03. (statistics, probability, webinar)

myfit(hours,sulfate)

allCode.m

plotClusts.m

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updated 5 years ago

CVAP: Cluster Validity Analysis Platform (cluster analysis and validation tool) by Kaijun Wang

supplying over 17 validity indices and 5 clustering algorithms based on GUI (statistics, probability, clustering analysis)

[dout,wide,dmin]=data_normalization(data,choise,oldwide,o...

[idx,netsim,dpsim,expref,pref,lowp,highp]=apclusterK(...

[idx,netsim,dpsim,expref]=apcluster(s,p,varargin);

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updated 4 months ago

Machine Learning with MATLAB by Abhishek Gupta

These are the supporting MATLAB files for the MathWorks webinar of the same name. (blackbox modeling, nonparametric, partitional clusterin...)

Clustering Corporate Bonds

Machine Learning using MATLAB

ImportBankData(filename, startRow, endRow)

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updated almost 3 years ago

Nonlinear Relaxation Labeling for Image Processing by Anton Semechko

Improve spatial coherence of a 2D monochromatic/multispectral image using probabilistic relaxation (nonlinear relaxation ..., relaxation labeling, relaxation labelling)

MyKmeans.m

RelaxLabel2D_demo1

RelaxLabel2D_demo2

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