Pajek Clustering Coefficient

Several operation (shortest route searching, clustering coefficient, strongly connected components, distribution of edges) is implemented on this network. The module has very resource-consuming parts so in a huge site you have to test the performance.The module includes a graph visualization...

Algorithm::SocialNetwork is a social network analysis. SYNOPSIS use Graph::Undirected; use Algorithm::SocialNetwork; my $G = Graph::Undirected->new(); $G->add_edges([qw(a b)], [qw(b c)]); my $algo = Algorithm::SocialNetwork->new(graph => $G3); my $BC = $algo->BetweenessCentrality(); #...

In biology, graph formalism is prevalently used. This graph package is for you to analysis biomolecular interaction network with the comfort of MATLAB. The package includes algorithm like modularity, clustering coefficient, all-pair shortest path (amazingly fast, great if you have 64-bit) and so...


Platforms: Matlab

Coefficient is a scalable open source project based collaboration platform that can run in J2EE and web application containers. It currently provides basic collaboration tools as hot deployable modules. It also provides a workflow engine to help guide projects through their development cycle..


Platforms: *nix

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

Easy to use Clebsch-Gordan coefficient solver for adding two angular momentums in Quantum Mechanics. This tool is created for my Quantum Mechanics II course offered by Dr. Thompson in Summer of 2007.[Instruction]Execute "GUI.m" script by invoking "GUI"


Platforms: Matlab

Computes the gini coefficient when given a set of values and population weights.Short on documentation and checks.


Platforms: Matlab

The Binomial Coefficient model displays the number of ways k objects can be chosen from among n objects when order is irrelevant. This number is known as a binomial coefficient and can be used to predict the the flipping of n coins with equal probability of heads and tails. The Binomial...


Platforms: Mac

PrepKit MCSE-2000 70-223, Windows 2000 Clustering Service is an interactive software application that helps you learn, tracks your progress, identifies areas for improvements and simulates the actual exam. This PrepKit contains 3 interactive practice tests with over 92 challenging questions...


Platforms: Windows

Calculates the coefficient of congruence for comparing factor solutions from different studies or different samples


Platforms: Mac

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

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.


Platforms: Windows, Mac, BSD

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

The absorption coefficient can be obtained empirically by using Thorp's formula.Thie formula that used in the code is generally valid for the frequencies above a few hundred hz.The absorption coefficient is used to find the absorption loss part of the path loss in underwater wirelss...


Platforms: Matlab

Accepts temperature in Kelvin, pressure in millibar and wavelength in microns (accurate for wavelengths 0.20-4.00 microns) and returns the model atmosphere Rayleigh angular volume-scattering coefficient. Includes Chandrasekhar phase function.


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

Many ant species exhibit the behavior of clustering corpses to form cemeteries. Each ant seems to behave individually, moving randomly in space while picking up or depositing (dropping) corpses. The decision to pick up or drop a corpse is based on local information of the antd-deOaos current...


Platforms: Matlab

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

The High Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifiers for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data.Reference: C. Bouveyron, S. Girard and C. Schmid, High-Dimensional Data Clustering,...


Platforms: Matlab