clusterData by Brett Shoelson

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

clusterData(data, sensitivity)

Mass Univariate ERP Toolbox by David Groppe

Functions for performing and visualizing mass univariate analyses of event-related potentials. (multiple comparisons, tmax, neuroimaging)

EEG=bin_info2EEG(EEG_or_fname,blf_fname,save_fname,verbleve...

GND=baselineGND(GND,bsln_wind,verblevel)

GND=bin_dif(GND,binA,binB,dif_bindesc,dif_ccode,dif_ccdescr)

ELLIPSATE by R P

circumscribe data into an ellipse (ellipse, cluster)

ellipsate( dataX , dataY , stdev )

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_bootstraps...

test_gap_statistics(test_datas)

CUDA Convolution filter by Mario Tuerschmann

Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel (cuda, cluster, hpc)

CudaConvolution( input_args )

Matlab implementation of CLARANS by Xiao

This is an implementation of classic CLARANS clustering algorithm. (statistics, signal processing, data exploration)

CLARANS(dist, numOfObjs, k)

PlotClusters.m by Elad Kivelevitch

This function plots clustering data, for example the one provided by kmeans, if the data is 2d or 3d (clustering, data exploration, statistics)

[]=PlotClusters(Data,IDX,Centers,Colors)

Getting Started with Parallel Computing using MATLAB by Arjav Chakravarti

This is an older version of the introductory tutorial for running parallel MATLAB applications (cluster, parallel computing to..., multicore)

testParforJob

testTask(x1,x2)

getMyJob.m

k_means cluster by lulu ?

use k_means to cluster a mount of data (cluster)

y=kmeans(data,k)

Client/Server Framework for Computing Clusters by Misha Koshelev

Send/receive file,spawn(fork/exec) process. MEX functions:spawn,wait_pid,kill. (pbs, torque, cluster)

exit_code=wait_pid(pid,secs)

pid=spawn(params,input,ouput,error)

res=kill(pid,signal)

taskMap: show your distributed computing tasks by Ben Tordoff

charts completed and running tasks for a distributed computing job for each worker (parallel computing to..., parallel computing, distributed)

taskMap( job, varargin )

countRepetitions by Johannes Keyser

Counts all repetitions of each elements' repeated occurrences within a vector. (count element repetit..., count, unique elements)

countRepetitions(inputVector)

Submit MATLAB functions to a cluster by Volkmar Glauche

Run MATLAB functions on a gridengine/torque/PBS cluster (pbs, gridengine, cluster)

RUN MATLAB COMPUTATIONS ON A SUN GRIDENGINE CLUSTER

qsub_check_finish(tob, tev, jobfilename, outfilename, flagf...

qsub_run_cm(jobfilename, outfilename, flagfilename)

Use handle classes to model dependencies between computation steps by Volkmar Glauche

Trigger computations in one object once computation results from other objects become available. (demo, distributed, modeling)

Schedule dependent computations

cfg_item

Visual Timing Report for Distributed Tasks by Jos Martin

Create a visual representation of when and where each task in a distributed computing job executes. (distributed processin..., parallel computing, distributed)

plottasks( jmName, jobName )

Cluster setup scripts by Jos Martin

Shell scripts to easily control a MATLAB distributing computing cluster (distributed processin..., parallel computing, distributed computing)

DCT Viewer by Elwin Chan

This utility allows you to monitor the activity on your cluster when using the Distributed Computing (distributed processin..., parallel computing, dct viewer)

dct_viewer(varargin)

Clustering data and searching optimal cutoff employing VIF criterion. by Denis

Performs hierarchical clustering of data and searches optimal cutoff using VIF. (cutoff, cluster, probability)

ClusterData(data, method, VIF, cutoff)

Gaussian Mixture Model by Vikram T N

This simulates the Gaussian Mixture Model (cluster, gmm, gaussian mixtures)

Cluster_Covariance(Data)

Cluster_Covariance(Data)

Cluster_Probability(Data,Mu)

Cleve's Corner: Parallel MATLAB - Multiple Processors and Multiple Cores by Linda Webb

The proliferation of multicore systems and clusters sets stage for parallel computing with MATLAB (whitepaper, article, paper)

paralize (v2006a) by Thomas Abrahamsson

This function is useful for those with a heterogeneous network of computers with a common filesys. (distributed processin..., parallel computing, cluster)

[varargout]=paralize(funstr,varargin)

serve(id,direc)

Ellipseselect by Rajiv Narayan

An interactive ellipse selection tool (data exploration, ellipse, selection)

cbkswitch(varargin)

ellipse(a,b,x0,y0,phi)

he=ellipseselect(varargin)

MATLAB Parallelization ToolkIt 1.20 by Einar Heiberg

Toolkit for easy parallelization of matlab code, for instance using parallelized for loops. (for, parallel, distributed processin...)

Beolab Toolbox for v6.5 by Thomas Abrahamsson

Parallel Matlab execution in trusted networks such as Beowulfs (distributed processin..., parallel computing, parallel)

barxy.m by J. Cogdell

Plot clusters/cells of x-y data as 2D bar graphs. (specialized, plotting, bar)

BARXY(x,y,CellLabels, normx,normy,logy, gap,box,Renderer)