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updated 7 days ago

Clustering of Ligand Diffusion Coefficient Pairs (CoLD-CoP) Toolbox by David Snyder

Analyze paired DOSY spectra to identify ligands binding macromolecules (statistics, nmr, clustering)

analyse_dosy_pair(l_dosy,pl_dosy,varargin)

create_dosy_axis(A_axes,dosydata)

create_pfgnmrdata(A, A_axes, inpath)

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updated 13 days ago

raamana/RobustFuzzyCMeans by Pradeep Reddy Raamana

Robust Fuzzy C-means (image processing, cmeans, fuzzy logic)

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updated 22 days ago

Adjusted Rand Index by Chris McComb

Compute the Adjusted Rand Index (partitions, clustering, statistics)

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updated 26 days ago

Clustering using Kohonen Neural Network by Yesi Diah Rosita

How to cluster data using KNN (kohonen, cohonen, clustering)

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updated 1 month 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 1 month ago

MSC(W,K) by Changqing Wang

Multiclass spectral clustering (Yu and Shi, 2003) (multiclass, spectral, clustering)

MSC(W,K)

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updated 1 month ago

best_kmeans(X) by wandering

wandering (view profile)

This function can determine the best cluster number in clustering (clustering)

best_kmeans(X)

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updated 2 months ago

Revised DBSCAN Clustering by Thanh Tran

Revised DBSCAN algorithm to cluster data with dense adjacent clusters (dbscan, clustering, classification)

dbscan.m

distance(X,Y, dosqrt)

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updated 2 months ago

Wavelet Based Image Segmentation by Ashutosh Kumar Upadhyay

Segment image containing objects of various intensities and shapes in noisy inhomogenous background (image processing, wavelet, image segmentation)

WaveletBasedImageSegmentation.m

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updated 3 months ago

k_means_(d, k, distance) 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 3 months ago

Simple example and generic function for kmeans clustering by Soumya Banerjee

Simple generic function and example to perform kmeans clustering (clustering, machine learning, mathematics)

kmeans_generic

call_kmeans()

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updated 4 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 4 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 4 months ago

Aritificial Immunity Inspired Density based Clustering by swarna

swarna (view profile)

Matlab code of the algorithm AIDCOR (clustering, data exploration, pattern recognition)

AIDCOR(Ag,p,maxpts,ep)

AIDCOR_clust

AIDCOR_prep(Ag,p)

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updated 4 months ago

uidendrogram by Malcolm McLean

Malcolm McLean (view profile)

Interactive dendrogram viewer using nested boxes (dendrogram, gui, clustering)

drawtree(link, cut, colours, iwidth, iheight)

getleaves( link, id )

testuidendrogram

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updated 4 months ago

Expectation Maximization Algorithm.zip by Sultan Alzahrani

Implementation of Expectation Maximization Algorithm (em ml, statistics, machine learning)

ComputeLogLiklihood(x,means,converiances,liklihood)

E_Step(x,liklihood,means,converiances)

GaussianMixtureLearning(x,means,converiances,k,r)

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updated 5 months ago

Swarm Rapid Centroid Estimation: A particle swarm clustering algorithm by Mitchell Yuwono

An efficient particle swarm approach for rapid optimization of cluster centroids. (optimization, statistics, data exploration)

EnsembleAggregate(softlabels,method,visualize)

RCE(in,k, varargin )

[h,x,y,z] =plot_fuzzy_voronoi (dt, u, m,N_steps,distance,...

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updated 5 months ago

Radial Basis Function with K Mean Clustering by Shujaat Khan

Shujaat Khan (view profile)

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 5 months ago

LEACH (Low Energy Adaptive Clustering Hierarchy protocol) by Mohammad Hossein Homaei

A Famous Clustering Routing Protocol in Wireless Sensor Networks (leach, wsn, clustering)

clusterOptimum(netArch, nodeArch, dBS)

createfigure(X1, Y1, Y2, Y3)

dissEnergyCH(clusterModel, roundArch)

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updated 5 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 7 months ago

frecca.zip by Andrew Skabar

Performs fuzzy relational clustering using the FRECCA algorithm. (clustering)

frecca(similarities, n_clusters, varargin)

iris_demo.m

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updated 7 months ago

kmeans_mt by Haw-Shiuan Chang

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

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updated 7 months ago

gmm_mt by Haw-Shiuan Chang

Efficient GMM clustering using Multiple Threads (gmm, gaussian mixture mode..., efficient)

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updated 8 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 8 months 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 8 months 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 9 months ago

Example_iris_01.m by nafise sorush

cmeans (clustering)

Example_iris_01.m

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updated 9 months 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 10 months 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 10 months ago

Spectral Clustering by Elie

Elie (view profile)

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 10 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 11 months ago

Spectral Clustering by Elie

Elie (view profile)

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

spcl(data, nbclusters, varargin)

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updated 11 months ago

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

ankit dixit (view profile)

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 11 months ago

Generate Data for Clustering by Nuno Fachada

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

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updated 11 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 11 months ago

Graph Agglomerative Clustering (GAC) toolbox by Wei Zhang

Wei Zhang (view profile)

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

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updated 12 months ago

Fast hierarchical clustering method - PHA by Yonggang

Yonggang (view profile)

Performs fast hierarchical clustering using PHA method. (clustering)

PHA_Clustering.m

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updated 1 year 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 1 year ago

Clustering by MATLAB GA tool box by RMS Danaraj

RMS Danaraj (view profile)

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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year 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 1 year ago

Mean shift pixel cluster by Yue Wu

Yue Wu (view profile)

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 1 year 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 1 year 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 1 year ago

K-medoids by Mo Chen

Mo Chen (view profile)

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

kmedoids(X,k)

spread(X, label)

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