Hierarchical Clustering

Performs hierarchical clustering of data using specified method andseraches for optimal cutoff empoying VIF criterion suggested in "Okada Y. et al - Detection of Cluster Boundary in Microarray Data by Reference to MIPS Functional Catalogue Database (2001)".Namely, it searches cutoff where groups...

a kind of usefull clustering algorithm that is better than kmeans and ward hierarchical clustering algorithms in some data sets

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

hcluster is a library that provides Python functions for hierarchical clustering. The interface is very similar to MATLAB's Statistics Toolbox API to make code easier to port from MATLAB to Python/Numpy. The core implementation of this library is in C for efficiency. Here are some key features...


Platforms: *nix

ClusterLib was designed as an Open Source library that can be used for agglomerative hierarchical clustering. ClusterLib can work with arrays of Java's Double as well as with other custom data types. In principle, any class implementing the DataPoint interface of this library can be used in...


Platforms: Windows

The statistics toolbox contains routines for hierarchical clustering, including the cluster routine uses the SAHN tree to group data into clusters. However, the toolbox seems to lack a routine that uses the SAHN tree to describe the hierarchical relationship between those clusters. This routine...


Platforms: Matlab

WCluster is a java program designed to perform hierarchical clustering. Whereas most hierarchical clustering software only allows users to assign weights to either rows or columns, WCluster lets you assign weights to individual data points. For example, this can be very useful if a particular row...


Platforms: Mac

VisualStat is a remarkably comprehensive visual statistics package. VisualStat incorporates all the descriptive statistics, parametric and nonparametric statistical methods, data transforms and charts you will need for processing, analyzing and presenting data. Multivariate procedures are...


Platforms: Windows

brCluster is a class library, written in java, that implements generic clustering algorithms carefully designed to allow its aplication in any kind of data. The algorithms implemented are K-means and Hierarchical Clustering (Simple and Complete Link).


Platforms: Windows, Mac, Linux

Cluster validation is an important and necessary step in cluster analysis. This visual cluster validation tool CVAP based on GUI provides important tools and convenient analysis environment for validity evaluation of clustering solutions, estimation of the number of clusters and performance...


Platforms: Matlab

XLSTAT is a complete analysis and statistics add-in for Excel. It has been developed since 1993. XLSTAT includes more than 240 features in general or field-specific solutions. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data...


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

VisualStat is a comprehensive and versatile desktop statistics package that is simple for beginners, yet powerful enough for experts. It is designed for business, science, marketing, and education, with fully functional spreadsheet. It incorporates all the descriptive statistics, parametric and...


Platforms: Windows 8, Windows, Windows 7

The main program is MAIN.mThis program will estimate the single source points present in theinstantaneous mixtures and using the estimated single source points the mixing matrix will be estimated. Then the error in mixing matrixestimation and the latest estimated mixing matrix will be...


Platforms: Matlab

COMPUTEGTOM computes the generalized overlaping measure algorithm (GTOM) [1]AuthorsJoaquin GodoT-i &IdoT-igo Martincorena University of Navarra -Dpt. of Physics and Applied Mathematics &Centre for Applied Medical Research. Pamplona (Spain). November 22nd, 2007batchComputeGTOM.m contains an...


Platforms: Matlab

Hierarchical Grid Site Managment is a front-end to the database that keeps information about the grid sites (clusters), their admins, email and phone contacts, other contact people, site nodes and resources, downtimes etc. These sites are organized by country and countries are organized by...


Platforms: *nix

Concurrent Hierarchical State Machine (CHSM) is a language system for specifying concurrent, hierarchical, finite state machines (an implementation of "statecharts") to model and control reactive systems. CHSM uses its own statechart specification langauge annotated with either C++ or Java code...


Platforms: *nix

Hierarchical Data Library for WPF and .NET 4 contains hierarchical data related Windows® client components, such as tree-grid controls and related classes, with data binding support, standard appearance and behavior customizable settings, culture and theme awareness, etc.


Platforms: Windows

Hierarchical Data Light Library for Silverlight™ 4 / WPF and .NET 4 contains Windows® client components such as tree-grid controls, with customizable look and feel, etc. The interactive tree-grid controls within the product may be used to display all types of hierarchical data that is stored...


Platforms: Windows

In order to structure data, it makes sense to use hierarchical schemes, as for example filesystems structure files in nested directories. This script offers an easy to use class which shows an analog behavior as the 'super mkdir' os.makedirs.


Platforms: Windows, Mac, *nix, Python, BSD Solaris

An implementation of "k-Means Projective Clustering" by P. K. Agarwal and N. H. Mustafa.This method of clustering is based on finding few subspaces such that each point is close to a subspace.


Platforms: Matlab