Pajek Clustering Coefficient

Text::NSP::Measures::2D::Dice::dice is a Perl module to compute Dice coefficient for bigrams. SYNOPSIS Basic Usage use Text::NSP::Measures::2D::Dice::dice; my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10; $dice_value = calculateStatistic( n11=>$n11, n1p=>$n1p, np1=>$np1,...

Text::NSP::Measures::2D::Dice::jaccard is a Perl module that implements the jaccard coefficient. SYNOPSIS Basic Usage use Text::NSP::Measures::2D::Dice::jaccard; my $npp = 60; my $n1p = 20; my $np1 = 20; my $n11 = 10; $jaccard_value = calculateStatistic( n11=>$n11, n1p=>$n1p,...

FIR Coefficient Finder is a digital signal processing tool which quickly generates floating point and fixed point coefficients for Finite Impulse Response filters. Supported filter types include low pass, high pass, band pass, notch, raised cosine, and root raised cosine. Generation methods...


Platforms: Mac

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

Efficient implementation of K-medoids clustering methods. This method is similar to K-means but more robust.For more detail, please seehttp://en.wikipedia.org/wiki/K-medoidsInput data are assumed column vectors.tryload data;label=kmedoids(X,3);scatterd(X,3);


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

Calculates the correlation coefficient for 2-d directional and circular data, e.g., if you have one set of 2-d movements and want to compare them to a second (paired) set of 2-d movements.The input to the function is two Nx2 matrices (each matrix specifies the x,y coordinates of N data points).


Platforms: Matlab

Package on Inequality Metrics such as the Gini Coefficient associated to the Lorenz Curve, the Theil and the Atkinson Indexes.


Platforms: Matlab

References:Fisher, N.I. and A.J. Lee (1983) A correlation coefficient for circular data. Biometrika Trust. 70(2):327-332 http://biomet.oxfordjournals.org/cgi/conte...stract/70/2/327Fisher, N.I. (1996) Statistical Analysis of Circular Data. Cambridge University Press.ISBN 0521568900,...


Platforms: Matlab

As recently published in Science (see reference)Simple and effective means of clustering any data for which a similarity matrix can be constructed. Does not require similarity matrix meet the standards for a metric. The algorithm applies in cases where the similarity matrix is not symmetric (the...


Platforms: Matlab

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


Platforms: Matlab

Writes a Pajek ".net" files from a MATLAB matrix, We can set the threshold to extract the useful information from the connection matrix.


Platforms: Matlab

Learn how simple rule-driven dynamical systems can produce complex dynamical behavior, like 2nd order phase transitions, criticality and clustering. This simulation will guide you through a tutorial that introduces the model incrementally and depicts the computation of the order parameter,...


Platforms: Mac

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

This product is created for lossless video compression. The techniques used by this filter allow to compress videos with compression coefficient 1.1 - 1.9 higher than HuffYUV.


Platforms: Windows

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

Convective Adsorption - Desorption software is used to study water diffusion processes with known experimental data, for the following geometries: infinite slab, infinite cylinder, sphere, finite cylinder and parallelepiped. The software makes possible the determination of the diffusivity "D" and...


Platforms: Windows