Discriminant

1 Introduction PLS-DA for data analysis in chemistry and OMICS studies. Also included in this package are 3 variable selection methods: 1) target projection (TP) 2) competitive adaptive reweighted sampling (CARS) 3) subwindow permutation analysis (SPA). SPA is based on model pupulation analysis... Platforms: Matlab

This function calculate the performance, based on Bayes theorem, of a clinical test. The input is based on a 2x2 matrix (true positive, false positives; false negative, true negatives).The Outputs are:- Prevalence of disease- Test Sensibility with 95% confidence interval- Test Specificity with... Platforms: Matlab

This code used to learn and explain the code of LDA to apply this code in many applications.For nay help or question send toengalaatharwat@hotmail.com Platforms: Matlab

AdaControl is a free (GMGPL) tool that detects the use of various kinds of constructs in Ada programs. AdaControls first goal is to control proper usage of style or programming rules, but it can also be used as a powerful tool to search for use (or non-use) of various forms of programming styles... Platforms: *nix

Praat (also the Dutch word for "talk") is a free scientific software program for the analysis of speech in phonetics. It has been designed and continuously developed by Paul Boersma and David Weenink of the University of Amsterdam. It can run on a wide range of operating systems, including... Platforms: Mac

Praat (also the Dutch word for "talk") is a free scientific software program for the analysis of speech in phonetics. It has been designed and continuously developed by Paul Boersma and David Weenink of the University of Amsterdam. It can run on a wide range of operating systems, including... Platforms: Linux

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 Expectation-Maximization algorithm (EM) is widely used to find the parameters of a mixture of Gaussian probability density functions (pdfs) or briefly Gaussian components that fits the sample measurement vectors in maximum likelihood sense [1]. In our work, the expectation-maximization (EM)... Platforms: Matlab