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updated 2 days ago

Community Detection in Graph by Costas Panagiotakis

Community Detection in Graph Using Synthetic Coordinates (community detection, graph, clustering)

runSCCD(filename)

testSCCD.m

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updated 6 days 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 9 days ago

Bayesian robust regression mixture model by Gabriel Agamennoni

MatLab object for clustering real-valued input-output data with noise and outliers (clustering, linear regression, bayesian models)

brrmmtest()

(ConstructOnLoad) brrmm %#ok

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updated 9 days ago

Bayesian robust mixture model by Gabriel Agamennoni

MatLab object for clustering real-valued data with noise, outliers and missing values (bayesian models, clustering, robust clustering)

brmmtest()

(ConstructOnLoad) brmm %#ok

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updated 20 days ago

Example_iris_01.m by nafise sorush

cmeans (clustering)

Example_iris_01.m

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updated 1 month ago

GMMEM based pixel labeling and Segmentation.zip by Mohammad Asif Khan

Program segment pixels on the basis of maximum probability obtained using EMGM algorithm (image processing, image segmentation, gaussian mixture mode...)

[meu1,sigma1,wt]=expectmaxx(data,k)

gauss_dist_opt(x,meu,sigma)

callexpectmaxx.m

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updated 1 month ago

GMM based Expectation Maximization Algorithm.zip by Mohammad Asif Khan

Program find the parameters of GMM model using EM algorithm and labels the data into classes (expectation maximizat..., clustering, gmm)

[meu1,sigma1,wt]=expectmaxx(data,k)

gauss_dist(x,meu,sigma)

callEM.m

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updated 2 months ago

DBHT by Tomaso Aste

Computes the DBHT clustering (clustering)

[T8,Rpm,Adjv,Dpm,Mv,Z]=DBHTs(D,S)

iris_demo.m

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updated 2 months ago

Spectral Clustering by Elie

Full Solution For Spectral Clustering (spectral, spectral clustering, clustering)

gaussdist(xi, xj, sigma)

generatedata(nbsamples, nbclasses, dim, dist, details, bl...

invdist(xi, xj)

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updated 2 months ago

Local Community Detection via a Flow Propagation (FlowPro) method by Costas Panagiotakis

FlowPro finds the community of a node in a complex network without the knowledge of the entire graph (community detection, graph clustering, clustering)

getCommunityFlowPro(D,COMM,INIT)

getCommunityFlowProSize(D,COMM,maxSize,INIT)

getHighestDiff2(H,ind,apo,eos)

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updated 2 months ago

Information-based Similarity Toolbox by Albert Yang

Information-based similarity index is an analysis of measuring distance between symbolic sequences (statistical physics, information theory, distance)

binmapping(signal)

checkfiletype(filename)

ibs(wrf1,wrf2)

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updated 3 months ago

Spectral Clustering by Elie

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

spcl(data, nbclusters, varargin)

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updated 3 months ago

Adaptive kmeans Clustering for Color and Gray Image. by ankit dixit

Automatically cluster a Color or Gray image. No need for specify number of cluster. (clustering, image segmentation, segmentation)

adaptcluster_kmeans(im)

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updated 3 months ago

Generate Data for Clustering by Nuno Fachada

Generates 2D data for clustering. (data, generator, clustering)

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updated 3 months ago

AMVIDC by Nuno Fachada

Clustering with minimum volume increase (MVI) and minimum direction change (MDC) clustering criteria (clustering, minimum volume increa..., minimum direction cha...)

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updated 3 months ago

Graph Agglomerative Clustering (GAC) toolbox by Wei Zhang

Graph Degree Linkage: Agglomerative Clustering on a Directed Graph. ECCV 2012. (statistics, data exploration, clustering)

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updated 4 months 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)

[C]=K_Means(X,M,D)

[Class_IDS]=Class_IDs(NC,NS);

[K]=Kernel(X,C)

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updated 4 months ago

Fast hierarchical clustering method - PHA by Yonggang

Performs fast hierarchical clustering using PHA method. (clustering)

PHA_Clustering.m

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updated 4 months ago

Subgroup Comparison by James Barrett

Measures the consistency of subgroup membership (subgroup, clustering, cluster)

SgComp(varargin)

SgCompPlot(W, D, G)

example.m

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updated 4 months ago

Clustering by MATLAB GA tool box by RMS Danaraj

This program creates clusters by GA tool box (ga, clustering)

[F s1]=clust1(x,data,k)

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

test.m

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updated 4 months ago

Bayesian robust state-space mixture model by Gabriel Agamennoni

MatLab object for grouping sequences of real-valued, noisy data according to their underlying dynami (linear dynamical syst..., bayesian learning, sequence clustering)

brssmmtest()

(ConstructOnLoad) brssmm %#ok

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updated 4 months ago

Bayesian robust simplicial mixture model by Gabriel Agamennoni

MatLab object for clustering real-valued data with noise, outliers and missing values (bayesian learning, mixture models, topic models)

brsmmtest()

(ConstructOnLoad) brsmm %#ok

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updated 5 months ago

Community Detection Toolbox by Athanasios Kehagias

The CDTB contains graph generators, clustering algorithms and cluster number selection functions (graph, clustering, community detection)

CNFixed(VV,K)

CV=CVIdx(V,A)

GCAFG(A,Scale)

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updated 5 months ago

FPDC by Cristina Tortora

Probabilistic distance (PD) clustering and factor PD-clustering (FPDC) (clustering, factor clustering, high dimensional data...)

FPDC.m

Silh.m

TuckerFactors.m

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updated 5 months ago

Successive Group Selection for Microaggregation by Costas Panagiotakis

A method that solves the statistical disclosure control (Microaggregation) (clustering, microaggregation, statistical disclosur...)

GSMS_T2(Data,K,runTFRP2)

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updated 6 months ago

similarity factor by Seshu Damarla

simil_dist compares two datasets that have the same spatial orientation but are located far apart. (clustering, classification)

[sdist]=simil_dist(X1,X2)

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updated 6 months ago

PCA similarity factor by Seshu Damarla

Finds similarity between two data sets using Principal Compoenent Analysis (clustering, classification, process monitoring)

[TPCA TPCA1 PC1 PC2]=similarity_pca(X1,X2)

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updated 6 months ago

Dissimilarity index by Seshu Damarla

Computes dissimilarity between two data sets of equal size (clustering, classification, monitoring)

[D]=DISSIM(x1,x2)

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updated 8 months ago

Mean shift pixel cluster by Yue Wu

This toy code implements the classic and basic pixel clustering using mean shifts (image processing, clustering, statistics)

meanShiftPixCluster(x,hs,hr,th,plotOn)

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updated 8 months ago

Meanshift by suraj vantigodi

Helps in segmenting or clustering the given RGB image (computer vision, image processing, image segmentation)

output=mean_shift(input_image,Hs,Hr,Th)

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updated 9 months ago

SEP (A Stable Election Protocol) in Wireless Sensor Network by Mohammad Hossein Homaei

SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks (sep, protocol, wsn)

SEP_Protocol_in_Matlab_by_www.wsnlab.org.m

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updated 10 months ago

K-medoids by Mo Chen

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

kmedoids(X,k)

spread(X, label)

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updated 10 months ago

Infinite Bernoulli mixture by Sam Gershman

Nonparametric Bayesian clustering of binary data. (machine learning, statistics, clustering)

dpmm_bernoulli(X,varargin)

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updated 10 months ago

Unsupervised Learning with Growing Neural Gas (GNG) Neural Network by Ilias Konsoulas

Learns data clusters and their topology in n-dimensional space by using the Growing Neural Gas net. (growing neural gas, unsupervised learning, vector quantization)

addNewNeuron(nodes,edges,ages,error,alpha)

edgeManagement.m

findTwoNearest(Input,nodes)

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updated 10 months ago

Unsupervised Learning with Dynamic Cell Structures (DCS) Neural Network by Ilias Konsoulas

Learns data clusters and their topology in n-dimensional space using the DCS-GCS neural network. (dynamic cell structur..., topology representing..., clustering)

addNewNeuron(nodes,error,C)

competitiveHebb1(C,bmu,secbmu,Theta,alpha)

competitiveHebb2(C,bmu,secbmu,y,Theta,alpha)

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updated 12 months ago

Gap Statistic Algorithm by Alessandro Scoccia Pappagallo

An algorithm for the estimation of the optimum number of clusters in a 2D dataset. (clustering, statistics, mathematics)

calculate_dispersion(data, k)

gap_statistic(data, k_vector, n_tests, n_cores)

generate_test_data(data)

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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 1 year ago

Modified & Generalized Dunn's index by Nejc Ilc

An implementation of Modified and Generalized Dunn's index for internal cluster validation. (clustering, validation, dunns index)

DI=indexDN(data,labels,distance)

[G,d,uniqueInd]=graph_create(data,labels,graph_type,optio...

[fig]=scatterPlot(data,labels,options)

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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

MatClust by Mattias Karlsson

Spike sorting program for extracellular recordings. Version 1.4 (spike sorting, neuroscience, clustering)

CSI()

ExcludeOverlappingPoints(clustnum)

ISIfilter()

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updated 1 year ago

Forel clustering by wadzapi

Forel clustering algothm. (clustering, forel)

forel(X, r)

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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

Fast Medoid Selection using MFAMES by Stephen Pratt

An implementation of the (Mutliple) FAst MEdoid Selection algorithm (MFAMES)[Paterlini et al. 2011] (medoid, kmedoids, clustering)

mfames(cluster_members, ...

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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 almost 2 years ago

connected component labeling like bwlabel by michael scheinfeild

recursive function of labeling binary image 4 connected (bwlabel, connected component l..., clustering)

detect(bw);

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updated almost 2 years ago

Kmeans by Wei LI

Kmeans implemented using accumarray (machine learning, clustering)

kmeans(D, k, maxIter)

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updated 2 years ago

Inverse Optimal Functions for Motoman HP-3 Tip Precision by Alan Jennings

A population based optimization increases pointing precision for a planar robotic arm. (robotics, inverse, inverse kinematics)

PSO_Function_ArmijoRobot_3

PointCluster2Angles_HP5_3

Clusters=ClusterGenerate_4(TestPoint,J,J_Grad,Y_Grad,Opti...

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updated 2 years ago

A Fast Image Segmentation using Delaunay Triangulation (Revisited) by Abbas Cheddad

This is a tuned version of the old post on Delaunay-based image segmentation. (cell segmentation, clustering, delaunay triangulatio...)

DSNew.m

[Segmented Clusters]=DSIterate(Segmented,B,C,D)

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updated 2 years ago

Dunn's index by Julian Ramos

This is an implementation of the Dunn's index for clustering. (clustering, index, measurement)

DI=dunns(clusters_number,distM,ind)

dunnsDemo.m

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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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