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updated 29 days ago

Robust Experimental Designs for Generalized Linear Models by Hovav Dror

Finding Local D-optimal and Robust Experimental Designs for GLM (statistics, probability, animation)

DGLM(beta,m,nruns,model,family,link, RP,NRP)

InfoMtrxGLM(F,beta,family,link)

Section4Example.m

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updated 1 month ago

Distance-based clustering of a set of XY coordinates by Yann Marcon

This function finds clusters in a set of spatial points expressed in XY coordinates. (xy, gis, clustering)

clusterXYpoints(inputfile,maxdist,minClusterSize,method,m...

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updated 1 month ago

Hierarchical Maximium Likelihood (HML) Clustering by Alok

Alok (view profile)

This is a hierarchical clustering approach using maximum likelihood estimate. (clustering, maximum likelihood, hierarchical clusteri...)

FindRowCol_HML(D,n)

HML(X,CLASS,var)

Demo.m

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updated 1 month ago

Fuzzy C-means Clustering by Krishna Kumar P

Krishna Kumar P (view profile)

This function illustrates the Fuzzy c-means clustering of an image (image processing, signal processing, fuzzy logic)

fuzzycmeans.m

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updated 1 month 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 1 month ago

Kernel Kmeans by Mo Chen

Mo Chen (view profile)

kernel kmeans algorithm (kernel, kmeans, clustering)

kmeansRnd(d, k, n)

knGauss(X, Y, s)

knKmeans(X, init, kn)

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updated 1 month ago

EM Algorithm for Gaussian Mixture Model (EM GMM) by Mo Chen

Mo Chen (view profile)

EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. (em, gmm, mle)

logsumexp(X, dim)

mixGaussEm(X, init)

mixGaussPred(X, model)

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updated 1 month ago

Kmeans Clustering by Mo Chen

Mo Chen (view profile)

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

kmeans(X, init)

kmeansPred(model, Xt)

kmeansRnd(d, k, n)

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updated 1 month ago

Kmeans++ by Mo Chen

Mo Chen (view profile)

Kmeans with a smart initialization strategy. It converges faster and produce better results. (clustering, kmeans, data analysis)

kmeansRnd(d, k, n)

kmeanspp(X, k)

plotClass(X, label)

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updated 1 month ago

Clustering toolbox by Nitin Williams

Toolbox for cluster analysis of data ensembles (clustering, signal processing, statistics)

refdist_shape.m

emd.m

partsim.m

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updated 1 month ago

Kmedoids by Mo Chen

Mo Chen (view profile)

Very fast matlab implementation of kmedoids clustering algorithm (clustering, kmedoids, kmeans)

kmeansRnd(d, k, n)

kmedoids(X, init)

plotClass(X, label)

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updated 2 months ago

Track Fusion with MDL by Richard

Richard (view profile)

Fusion of Points-of-Origin for a Counter Battery application (optimization, aerospace, clustering)

Blackman(POO,COV,N,S2,LS,choice,verbose)

MDL(K, part, POO, COV, N, choice)

computeDIA(Hdis,kmedians,thisK,thispart,verbose)

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updated 2 months ago

ART-2 Neural Network & Machine Monitoring Hybrid System by Mateusz Wójcik

Matlab tools for Online Clustering (art2, hybrid neural system, intelligent monitorin...)

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updated 4 months ago

Automatic Clustering via Statistical Testing by Guangtao Wang

Clustering in data mining (clustering, machine learning)

CluteringBasedOnCenter.m

DeltaCalculation.m

OutwardStatTestCenterDetection(gama, delta)

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updated 4 months ago

fakenmc/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 4 months ago

jsantarc/Dynamic-Time-Alignment-K-Means-Kernel-Clustering-For-Time-Sequence-Clustering by Joseph Santarcangelo

Dynamic Time-Alignment (DTA) K-Means Kernel Clustering For Time Sequence Clustering (signal processing, clustering, time series)

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updated 4 months ago

Segmentation of CMAPSS trajectories into states by Emmanuel Ramasso

For time-series classification, clustering and sequence prediction (time series, utilities, clustering)

segmentation_cmapss_classification(data_train,param)

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updated 4 months ago

Point Clustering via Voting Maximization by Costas Panagiotakis

Implementation of CVR and CVR-LMV [1-2] methods for clustering. (grouping, centriods, voting)

runCorrectClustering.m

getError.m

Hungarian(Perf)

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updated 4 months ago

amjams/mixed_kmeans by Ahmad Alsahaf

Kmeans algorithm for mixed features (continuous and categorical) (kmeans, unsupervised learning, clustering)

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updated 4 months ago

Clustering with Gaussian Mixture Models (GMMs) by George Azzopardi

A simple implementation of Gaussian Mixture Models for Clustering (clustering, gaussian mixture mode..., gmm)

GMMClustering(K)

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updated 5 months ago

Sparsified K-Means by Stephen Becker

Stephen Becker (view profile)

Extremely fast K-Means for big data (kmeans, clustering)

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updated 5 months ago

raamana/RobustFuzzyCMeans by Pradeep Reddy Raamana

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

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updated 6 months ago

Code of the paper "Graph Clustering by Congruency Approximation" by weiya ren

Graph Clustering by Congruency Approximation(CAC) (demo, clustering, graph)

constructW.m

computeMIAC.m

hungarian.m

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updated 6 months ago

DensityClust by QiQi Duan

Simple MATLAB Code for the paper "Clustering by fast search and find of density peaks" (algorithm, clustering, pattern recognition)

computeStorageSize(byteSize)

decisionGraph(rho, delta, isManualSelect)

decisionGraph(rho, delta, isManualSelect)

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updated 6 months ago

DBSCAN by Tianxiao

Tianxiao (view profile)

A density based clustering algorithm, implemented according to the original paper (clustering, dbscan)

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updated 6 months ago

DBSCAN by Paolo Inglese

Paolo Inglese (view profile)

DBSCAN clustering algorithm (dbscan, clustering, unsupervised)

dbscan.m

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updated 6 months ago

Kraskov entropy ver. 2 by Paolo Inglese

Paolo Inglese (view profile)

Optimized version of Kraskov entropy estimator based on k-nearest neighbours distance. (classification, clustering, entropy)

KraskovEntropyV2.m

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updated 6 months 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 7 months ago

FindPartitions(points,dist) by Zhouxin Xi

Partitioning point data into cluster (point cloud, clustering, segmentation)

FindPartitions(points,dist)

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updated 7 months ago

kcluster(img,b) by AK

AK (view profile)

K means clustering function (kmeans, clustering)

kcluster(img,b)

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updated 7 months ago

Intelligent Color Reduction and Quantization using Clustering Methods in MATLAB by Yarpiz

Yarpiz (view profile)

Color Reduaction using k-Means Clustering, Fuzzy c-Means Clustering (FCM), and SOM Neural Network (image processing, color reduction, color quantization)

SOM(X,NetSize)

main.m

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updated 7 months ago

ffcmw: The Fastest Fuzzy C-Means in the West! by Marco Cococcioni

A fast implementation of the well-known fuzzy c-means clustering algorithm (clustering, fcm, stepfcm)

ffcmw(data, cluster_n, options)

ffcmw_demo1.m

ffcmw_demo2.m

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updated 8 months ago

DBSCAN Clustering Algorithm by Yarpiz

Yarpiz (view profile)

Implementation of Density-Based Spatial Clustering of Applications with Noise (DBSCAN) in MATLAB (dbscan, clustering, cluster analysis)

DBSCAN(X,epsilon,MinPts)

PlotClusterinResult(X, IDX)

main.m

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updated 8 months ago

Neural Gas and Growing Neural Gas Networks by Yarpiz

Yarpiz (view profile)

MATLAB implemenattion of Neural Gas and Growing Neural Gas for Clustering and Topology Learning (neural gas, growing neural gas, neural gas network)

GrowingNeuralGasNetwork(X, params, PlotFlag)

NeuralGasNetwork(X, params, PlotFlag)

PlotResults(X, w, C)

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updated 8 months ago

Evolutionary Clustering and Automatic Clustering by Yarpiz

Yarpiz (view profile)

Clustering and Automatic Clustering using Evolutionary Algorithms (GA, PSO, and DE) (clustering, automatic clustering, evolutionary clusteri...)

CSIndex(m, X)

ClusteringCost(m, X)

ClusteringCost(s, X)

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updated 8 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 8 months ago

Semi-Supervised Normalized Cuts for Image Segmentation by Nathan Cahill

Nathan Cahill (view profile)

Normalized Cuts, Biased Normalized Cuts, and Constrained (Semi-Supervised) Normalized Cuts (image segmentation, clustering, semisupervised)

adjacencyMatrixGPbSuperpixels(varargin)

biasedNCut(varargin)

completeGraph(ind)

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updated 8 months ago

normalized-cut segmentation using color and texture data by Alireza

Alireza (view profile)

This code implemented a “normalized-cut” segmentation using color and texture information (image processing, statistics, clustering)

NcutPartition(I, W, sNcut, sArea, id)

NcutValue(t, U2, W, D)

Demo_features.m

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updated 8 months ago

k-means, mean-shift and normalized-cut segmentation by Alireza

Alireza (view profile)

k-means, mean-shift and normalized-cut segmentation (image processing, machine learning, machine vision)

Km(I,K)

Km2(I,K)

MeanShiftCluster(dataPts,bandWidth,plotFlag)

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updated 8 months ago

K-means segmentation by Alireza

Alireza (view profile)

This code implements K-means color segmentation (image processing, segmentation, image segmentation)

Demo.m

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updated 8 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 8 months ago

K-means clustering by Alireza

Alireza (view profile)

This code implements K-means Clustering (clustering, kmeans, machine learning)

km_fun(F, K, KMI)

Demo.m

Test.m

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updated 9 months ago

Adjusted Rand Index by Chris McComb

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

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updated 9 months ago

Generate Data for Clustering by Nuno Fachada

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

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updated 9 months ago

2D NMR spectra fitter by Ali Shaban

A set of functions that can be used for approximation of various 2D NMR spectra with 2D Gaussians. (signal processing, approximation, clustering)

Approximation(xx,yy,I,clusters,peaklist,initialWidth)

drawClusters( clusters )

findClusters( peaklist, dx, dy )

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updated 9 months ago

Using Weka in Matlab by Sunghoon Lee

An efficient interface to use Weka in MATLAB (analysis, probability, machine learning)

classifier_example()

clustering_example()

costSensitiveClassifier_example()

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updated 10 months ago

Finding functional networks in brain fMRI data using stepwise clustering by Janki Mehta

fMRI Signal Processing (biotech, clustering)

apcluster.m

ACS_clustering( cluster_no )

affinity_propagation( S )

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updated 10 months ago

Image Segmentation using Otsu Method by AliArshad Kothawala

It is a clustering based image thresholding . (image processing, clustering)

Otsu_Thresholding.m

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updated 12 months ago

Load Balanced Connected Dominating Set by niranjan panigrahi

Computes LBCDS using Greedy algorithm proposed J He et al. (clustering, wireless, graph)

lbcds1.m

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updated 12 months ago

Kraskov entropy by Paolo Inglese

Paolo Inglese (view profile)

Kraskov entropy estimator based on k-nearest neighbours distance. (information theory, entropy, machine learning)

KraskovEntropy.m

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