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
License: Freeware | Size: 768 KB | Download (51): partial least squares-discriminant analysis and variable selection for high dimensional data Download |
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
License: Freeware | Size: 10 KB | Download (43): Clinical Test Performance Download |
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
License: Freeware | Size: 1.13 MB | Download (46): LDA (Linear Discriminant Analysis) Download |
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
License: Freeware | Size: 1024 KB | Download (97): AdaControl Download |
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
License: Freeware | Size: 4.9 MB | Download (446): Praat for Mac OS X Download |
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
License: Freeware | Size: 2 MB | Download (432): Praat for Linux Download |
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
License: Freeware | Download (60): Modular toolkit for data processing Download |
This applicationĀ 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
License: Freeware | Download (59): PCP Application Download |
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
License: Freeware | Size: 573.44 KB | Download (45): Gaussian Mixture Modeling GUI (GMM DEMO) Download |