Pajek Clustering

NeuroXL Clusterizer is a neural network add-in for Microsoft Excel. NeuroXL Clusterizer is an add-in for Excel designed to aid experts in real-world data mining and pattern recognition tasks. It hides the underlying complexity of neural network processes while providing graphs and statistics for...

ASK:Webapps front-end Application Server, offers a Java Server Component Model, Clustering & Applications Fault-Tolerance Execution. SHORB:Simple Object Request Broker over HTTP. DBPCS: ddbb Connections Pool, supports Business DB Objects Pooling

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...


Platforms: Matlab

SpectralClustering performs one of three spectral clustering algorithms (Unnormalized, Shi & Malik, Jordan & Weiss) on a given adjacency matrix. SimGraph creates such a matrix out of a given set of data and a given distance function.The code has been optimized to be both fast and memory...


Platforms: Matlab

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

For interactive clustering and visualization, Cluster and TreeView by Mike Eisen are great. XCluster by Gavin Sherlock solves the problem of clustering large numbers of files. Now slcview allows you to script generation of cluster and tree images.


Platforms: Windows, Mac, Linux

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

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

FCMTHRESH Thresholding by 3-class fuzzy c-means clustering [bw,level]=fcmthresh(IM,sw) outputs the binary image bw and threshold level of image IM using a 3-class fuzzy c-means clustering. It often works better than Otsu's methold which outputs larger or smaller threshold on fluorescence images....


Platforms: Matlab

Carrot2 is an Open Source Search Results Clustering Engine. It can automatically organize small collections of documents, e.g. search results, into thematic categories. Apart from two specialized document clustering algorithms, Carrot2 offers ready-to-use components for fetching search results...


Platforms: Mac

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

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.


Platforms: Windows, Mac, Linux

Iris data set clustering using partitional algorithm. Concepts like loading text document and plotting of 4 Dimensional data with the fourth dimension as the intensity of colour of the plot. I used K means algorithm to update the centres from where we calculate the euclidean distance of the other...


Platforms: Matlab

Affinity propagation clustering (AP) is a clustering algorithm proposed in "Brendan J. Frey and Delbert Dueck. Clustering by Passing Messages Between Data Points. Science 315, 972 (2007)". It has some advantages: speed, general applicability, and suitable for large number of clusters. AP has two...


Platforms: Matlab

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


Platforms: Matlab

An R package implementation of a consensus clustering methodology. This package allows users to perform re-sampling statistics based clustering using multiple clustering algorithms to assess the robustness of both clusters and members of clusters.


Platforms: Windows, Mac, Linux

An extensible framework and user interface for combining various structured search and document clustering techniques.


Platforms: Windows, Mac, Linux

Software for clustering networks as described in 'Information-theoretic approach to network modularity' (Phys. Rev. E 71, 046117 (2005); http://link.aps.org/abstract/PRE/v71/e046117).


Platforms: Windows, Mac, Linux

Exercises and case studies for a rigorous approach to risk- and portfolio-management. This booklet stems from the review sessions of the six-day ARPM bootcamp.Contents include:Advanced multivariate statistics; copula-marginal decompositionAnnualization/projection (FFT, cumulants,...


Platforms: Matlab

This function performs SAHN clustering (like linkage.m in the Statistics Toolbox) but allows users to define their own inter-cluster distance function. This function is thus more flexible than linkage.m (albeit a lot slower).(C) 2010 by David A. Snyder. Support for writing this code provided by...


Platforms: Matlab