Pajek Clustering

This is educational software whose purpose it is to clarify the workings of different clustering algorithms by visualising the clustering process in 2D space. This make many possible problems and advantages very clear.

A MATLAB spectral clustering package to handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. We implement various ways of approximating the dense similarity matrix, including nearest neighbors and the Nystrom method.

OpenRDS (Open Requisition Distribution System) is a framework written in Java/RMI conceived for making requisition-based distributed systems (clustering) easy to develop/manage. It's design emphasizes robustness, simplicity and scalability.


Platforms: Windows, Mac, Linux

Document clustering project is a data mining suite to cluster a document set. This set of tools was implemented from a series of papers: "Clustering Web Pages Semantically using Combinatorial Topology", "Data mining using granular computing", and "A fast association rule algorithm based on bitmap...


Platforms: *nix

Bio::Tools::Run::TribeMCL is a method for clustering proteins into related groups, which are termed protein families. SYNOPSIS use Bio::Tools::Run::TribeMCL; use Bio::SearchIO; # 3 methods to input the blast results # straight forward raw blast output (NCBI or WU-BLAST) my @params =...


Platforms: *nix

HA/FST is a high availability clustering tool for up to four Solaris nodes. HA/FST project supports any application that can be managed from the command line. HA/FST works similar to other HA tools. Heartbeats sent across a private network are monitored. If these heartbeats fail and subsequent...


Platforms: *nix

The performance of the level set segmentation is subject to appropriate initialization and optimal configuration of controlling parameters, which require substantial manual intervention. A new fuzzy level set algorithm is proposed in this paper to facilitate medical image segmentation. It is able...


Platforms: Matlab

The purpose of the development of this toolbox was to compile a continuously extensible, standard tool, which is useful for any MATLAB user for one's aim. In Chapter 1 of the downloadable related documentation one can find a theoretical introduction containing the theory of the algorithms, the...


Platforms: Matlab

Nowadays due to the yearly multiplying data comes always the claim for useful methods and algorithms that make the processing of these data easier. For the solution of this problem data mining tools come into existence, to which the clustering algorithms belong. At the Department of Process...


Platforms: Matlab

Bayesian hierarchical clustering methods provide a powerful tool for phylogenetic analysis, linguistic research and hierarchical clustering in general such as applied in marketing, political science, customer preference grouping etc. Bayesian methods use MCMC sampling which results in a large...


Platforms: Mac

AutoSOME is a new unsupervised multidimensional clustering method for identifying clusters of diverse shapes and sizes from large numerical datasets without prior knowledge of cluster number (BMC Bioinformatics, 11:117). Given the general nature of data clustering, AutoSOME has utility for a wide...


Platforms: Mac

Virix is a clustering project. The goal is to provide tools that aid in cluster computing with mosix.


Platforms: *nix

ClusterIt is a collection of clustering tools to allow simple administration of groups of UNIX machines. It can also be used to facilitate parallel shell scripting, and compiling.


Platforms: *nix

An advanced, easy-to-use monitoring solution for your entire network. The software's features include: up/downtime monitoring, traffic and usage monitoring, packet sniffing, failover clustering, in-depth analysis and concise reporting. A user-friendly web-based interface allows users to quickly...


Platforms: Windows, Windows 8, Windows 7, Windows Server

Statistics::CalinskiHarabasz is a Perl extension to the cluster stopping rule proposed by Calinski and Harabasz (C&H). SYNOPSIS use Statistics::CalinskiHarabasz; &ch(InputFile, "agglo", 10); Input file is expected in the "dense" format - Sample Input file: 6 5 1 1 0 0 1 1 0 0 0 0 1 1...


Platforms: *nix

Statistics::Gap Perl module is an adaptation of the Gap Statistic. SYNOPSIS use Statistics::Gap; $predictedk = &gap("prefix", "vec", INPUTMATRIX, "rbr", "h2", 30, 10, rep, 90, 4); OR use Statistics::Gap; $predictedk = &gap("prefix", "vec", INPUTMATRIX, "rbr", "h2", 30, 10, rep, 90, 4,...


Platforms: *nix

LibMySequoia is an alternative library for MySQL API C client, using Carob to benefit from clustering. So, native mysql client programs can use the Sequoia clustering solution without changing any line of code in the application. HOW TO USE IT Install the debian or rpm package and you are...


Platforms: *nix

Xgrid Agent for Java is an agent for Apples Xgrid clustering protocol written entirely in Java. This makes multiple platform Xgrid clusters possible. Usage: usage: java -jar xgridagent.jar -r|host name mhz -r will resolve the controller via bonjour host is the address or hostname on the...


Platforms: *nix

openMosix is a Linux kernel extension for single-system image clustering. This kernel extension turns a network of ordinary computers into a supercomputer for Linux applications. Once you have installed openMosix, the nodes in the cluster start talking to one another and the cluster adapts...


Platforms: *nix

OpenSSI Clusters for Linux project is a comprehensive clustering solution offering a full, highly available SSI environment for Linux. Goals for OpenSSI Clusters include availability, scalability and manageability, built from standard servers. Technology pieces include: membership, single root...


Platforms: *nix