Dimensionality

The objective of this project is to make available an open-source version of our Multifactor Dimensionality Reduction (MDR) software. MDR is a nonparametric alternative to logistic regression for detecting and characterizing nonlinear interactions.

GMDR was built as an Open-Source interaction analysis instrument that is aimed to perform gene-gene interaction with generalized multifactor dimensionality methods. This Java-based tool offers a generalized combinatorial approach for detecting gene-by-gene and gene-by-environment interactions.

DimReduction project provide an open-source multiplatform (Java) graphical environment for bioinformatics problems that supports many feature selection algorithms, pattern recognition techniques, criterion functions and graphic visualization tools.


Platforms: Windows, Mac, Linux

This function constructs a bottleneck (or autoassociative) neural network. It is used for dimensionality reduction or nonlinear principle components analysis. This function was tested under MATLAB 5.3, and requires the Neural Network toolbox.


Platforms: Matlab

Powerful tool for nonlinear constrained optimization.You have an object, which should be improved by optimum coordination of several parameters, and its mathematical model, computing efficiency index depending on these parameters. Using IOSO NS GT, you can quickly and efficiently solve non-linear...


Platforms: Windows

SVG::Graph is a Perl module to visualize your data in Scalable Vector Graphics (SVG) format. SYNOPSIS use SVG::Graph; use SVG::Graph::Data; use SVG::Graph::Data::Datum; #create a new SVG document to plot in... my $graph = SVG::Graph->new(width=>600,height=>600,margin=>30); #and create...


Platforms: *nix

Time::Warp is a Perl module to control over the flow of time. SYNOPSIS use Time::Warp qw(scale to time); to(time + 5); # 5 seconds ahead scale(2); # make time flow twice normal Our external experience unfolds in 3 1/2 dimensions (time has a dimensionality of 1/2). The Time::Warp module...


Platforms: *nix

PDL::Tips is a Perl module with small tidbits of useful arcana. Programming tidbits and such. SYNOPSIS use PDL; # Whatever happens here. This page documents useful idioms, helpful hints and tips for using Perl Data Language v2.0. Help Use help help within perldl or the pdldoc program...


Platforms: *nix

PDL::Ufunc Perl module contains primitive ufunc operations for pdl. This module provides some primitive and useful functions defined using PDL::PP based on functionality of what are sometimes called ufuncs (for example NumPY and Mathematica talk about these). It collects all the functions...


Platforms: *nix

This library aims to provide support for D-dimensional images in Java and to enable high-level implementation of algorithms in dimensionally-invariant manner. Major features: the dimensionality and the access to primitive data types are abstracted.


Platforms: Windows, Mac, Linux

Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.


Platforms: Windows, Mac, Linux

Divvy is an application for performing unsupervised machine learning and visualization. We focus on the clustering (separating data into groups) and dimensionality reduction (finding low dimensional structure in high dimensional data) subfields of machine


Platforms: Mac

Modular toolkit for Data Processing (MDP) is a Python data processing framework. Implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), Growing Neural Gas (GNG), Factor Analysis, Fisher Discriminant Analysis (FDA),...


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

This application is an open-source machine learning program for supervised classification of patterns (vectors of measurements). PCP implements the following algorithms and methods: - Fisher's linear discriminant - dimensionality reduction using Singular Value Decomposition - Principal...


Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

The RSQP Toolbox is developed based on the theory of reduced Hessian successive quadratic programming for large scale optimization.The toolbox is a collection of functions that extend the capability of MATLAB Optimization Toolbox in solving optimization problems with(a)high dimensionality...


Platforms: Matlab