Pajek Clustering

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...

For validation of clustering results in cluster analysis, it is important to use some objective measures to evaluate the clustering quality. This tool provides programs of such validity indices, including 4 External validity indices and 8 Internal validity indices: Rand index, Adjusted Rand...

allCode.m contains the sequence of code used during the demonstration.The data files:medflies.mat - the fruitfly dataflicker.mat - the flickering light databreastcancer.mat - the breast cancer mortality datasulfate.mat - the blood concentration data.Fisher's iris data are available in the...


Platforms: Matlab

A toolkit for Gaussian mixtures.flexible tools for:Generating univariate, multivariate, or mixtures of gaussiansInteractive viewing tools allows viewing of multidimensional data and models. Initialize models, add and remove dimensions or clusters and inspect the fit in real-time.Also includes...


Platforms: Matlab

It works just fine, download it only if you re ok with programming. You will have to know what EM is before downloading it.


Platforms: Matlab

In this work we present a generalization of partitional clustering aiming at the inclusion into the clustering process of both distance and direction of the point of observation towards the dataset. This is done by incorporating a new term in the objective function, accounting for the distance...


Platforms: Matlab

This toolbox extends the FindCore toolbox by first clustering the input set of structural models (create_multiensemble) and then superimposing each cluster separately. This allows for appropriate assessment of the uncertainty or flexibility in protein structure when more than one inherent...


Platforms: Matlab

This function takes clustering data and plots it, if the data is 2d or 3d. The inputs are:An m-by-d matrix of data points, where d is the number of dimension and m the number of data pointsAn m-by-1 vector of indices that associate each data point with a cluster.Optional inputs:A c-by-d matrix...


Platforms: Matlab

Algorithm StrAP, is able to adaptively cluster data streams with Affinity Propagation. Several steps are made to buildStrAP. The first one (Weighted AP) extends AP to weighted items withno loss of generality. The second one (Hierarchical WAP) is concernedwith reducing the quadratic AP complexity,...


Platforms: Matlab

Normalized mutual information is often used for evaluating clustering result, information retrieval, feature selection etc. This is a optimized implementation of the function which has no for loops.


Platforms: Matlab

Clustering is one of the most important data mining techniques used to extract useful informationfrom microarray data. Microarray data sets can be either clustered by samples or by genes. In thisresearch we focus on the gene clustering problem. The objective of gene clustering is to group genes...


Platforms: Matlab

Computes the clusters of Pixels based upon their color.Computes the clusters of Pixels based upon their color. The algorithm is based uopon binary tree quantization technique described by Orchard and Bouman. The code can be used for generating Mixed Gaussian Models used in graph cut based...


Platforms: Matlab

Findexer is a FTP Indexer used to list FTP-servers contents and store listing in database (PostgreSQL). Later, user can query database through web-interface to search filenames by pattern.Findexer might be useful in local area networks with multiple ftp resources.Its core written in C , though...


Platforms: PHP

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

bio library is a collection of algorithms and data structures that are useful when building various bioinformatics-related utilities and tools. Here are some key features of "bio library": ?*A* Sequence data type supporting protein and nucleotide sequences and conversion between them, quality...


Platforms: Mac

* jCompoundMapper provides popular fingerprinting algorithms for chemical graphs such as depth-first search fingerprints, shortest-path fingerprints, extended connectivity fingerprints, autocorrelation fingerprints (e.g. CATS2D), radial fingerprints (e.g. Molprint2D), geometrical Molprint, atom...


Platforms: Mac

BitMagic is C++ library designed and developed to implement efficient platform independent bitsets. Key features: * Several types of on the fly adaptive compression. * Dynamic range of addressable space of 232-1 bits. * Efficient memory management. * Cache optimized bitset distance...


Platforms: Mac

REVClusterMap API is a simple implementation of clustering for the iOS platform. An extra layer of functionalities that enables clustering built on top of the MapKit Framework. With a small set of customizable settings the simple cluster algorithm provides an easy way to cluster your annotations....


Platforms: Mac

jMOTU is a software package for clustering barcode DNA sequence data into molecular operational taxonomic units (MOTU). If you are not sure what a MOTU is, please see the DNA Barcoding pages on our website. jMOTU does the following: *reads input sequences in FASTA or NEXUS format *calculates...


Platforms: Mac

Clusterfunc is a simple and fast method for Clustering functionally divergent genes by Functional Category. Changes in protein structure and function are reflected at the level of amino acid sequence. This principle suggests that functional divergence - changes in protein function, for instance...


Platforms: Mac