Hierarchical Clustering

This module integrates the Hierarchical Select and User Terms projects to display the vocabulary elements as user friendly hierarchical select boxes on the user edit form.Installation * Review the Installation handbook page and install this module like any standard Drupal project. * Visit...

This module allows the use of Hierarchical Select form element as a widget for CCK node reference field, both in node add/edit form and in views filter.A Hierarchical Select in widget setting allows you to define a path in the hierarchy of node reference fields, once defined, this path can be...

Hierarchical Select implementation allowing to choose content types and their fields in a user-friendly way. Reusable form element.This is developer module. Install it only when required by other module.Requirements: Hierarchical Select, CCKModules that use Hierarchical Select Field Selector:...


Platforms: PHP

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

DlhSoft Hierarchical Data Control Library allows you to create Windows client applications running on Microsoft .NET 2.0/3.0 platform that would display and update hierarchical data using a tree-grid, based on indent levels. Includes Data Control Library and Data Framework assemblies.


Platforms: Windows

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

Engine for creating web-based hierarchical database systems.Describe your hierarchical data structure within the engine's metadata and it will present you with a web form based data capture and retrieval application for managing your data.


Platforms: Windows, Mac, Linux

A computer algebra package for hierarchical compositions and decompositions of permutation groups and transformation semigroups, with special emphasis on the explicit representation of the connection network, implemented in GAP www.gap-system.org.


Platforms: Mac, BSD, 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

Hierarchical Split script is useful when you want to split a string more times, hierarchically.


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

Out of the box, this module implements the hierarchical_select hooks for the taxonomy. It also converts hierarchical vocabularies that are used as exposed filters in any View to a hierarchical select. Any module that uses a select form element, of which the options are ordered hierarchically, can...


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

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

This is a very fast implementation of the original kmeans clustering algorithm without any fancy acceleration technique, such as kd-tree indexing and triangular inequation. (actually the fastest matlab implementation as far as I can tell.)This code is as vectorized as possible. Yet it is very...


Platforms: Matlab

The searching process is necessary for the Affinity propagation clustering (AP) when one demands a clustering solution under given number of clusters. The Fast AP uses multi-grid searching to reduce the calling times of AP, and improves the upper bound of preference parameter to reduce the...


Platforms: Matlab

Affinity propagation clustering (AP) is a clustering algorithm proposed in "Brendan J. Frey and DelbertDueck. 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....


Platforms: Matlab

This is a tool for K-means clustering. After trying several different ways to program, I got the conclusion that using simple loops to perform distance calculation and comparison is most efficient and accurate because of the JIT acceleration in MATLAB.The code is very simple and well documented,...


Platforms: Matlab