Discriminant

Leave-one-out cross-validation for PLS regression or discriminant analysispls_cv = plscv(x,y,vl,'da')input:x (samples x descriptors) for cross-validationy (samples x variables) for regression or (samples x classes) for discriminant analysis. Classes numbers must be >0.vl (1 x 1) number of latent... Platforms: Matlab

The purpose of Discriminant Analysis Programme (DAP) is to facilitate discrimination and classification of (to be) grouped data with robust estimation- and modeled structures for the covariances in a one-go software. The robust estimation methods are the S-estimator and Donoho-Stahel estimator.... Platforms: Matlab

Leave-one-out cross-validation for PLS regression or discriminant analysispls_cv = plscv(x,y,vl,'da')input:x (samples x descriptors) for cross-validationy (samples x variables) for regression or (samples x classes) for discriminant analysis. Classes numbers must be >0.vl (1 x 1) number of latent... Platforms: Matlab

This is the fast implementation of Null LDA method. [W,CPU_TIME]=FNLDA(Data,ClassLabel)Null linear discriminant analysis (LDA) method is a popular dimensionality reduction method for solving small sample size problem. The implementation of nullLDA method is, however, computationally very... Platforms: Matlab

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

Features of this implementation of LDA:- Allows for >2 classes- Permits user-specified prior probabilities- Requires only base MATLAB (no toolboxes needed)- Assumes that the data is complete (no missing values)- Has been verified against statistical software- "help LDA" provides usage and an... Platforms: Matlab

Codes for fuzzy k means clustering, including k means with extragrades, Gustafson Kessel algorithm, fuzzy linear discriminant analysis. Performance measure is also calculated. Platforms: Matlab

this function converts data from its original space to LDA spacedata is consist of M rows(sample size), N cols(dimensions)class is consist of M rows(sample size), 1 cols , each element of class is shows class number of each data sample(class number must be integer 1 to n)n is the number of... Platforms: Matlab

Canonical discriminant analysis is a dimension-reduction technique related to principal component analysis and canonical correlation called canonical discriminant analysis. It derives the canonical coefficients parallels that of one-way MANOVA and it finds linear combinations of the quantitative... Platforms: Matlab

Discriminant Analysis is a multivariate technique concerned with separating distinct sets of observations to previously defined groups; rather exploratory in nature, it is a separatory procedure. Here, we develop this technique considering normal populations with equal covariance matrices. So,... Platforms: Matlab

Discriminant Functions is one of statistical technique used in Pattern Recognition for separating classses.This is parametric methods, means, it requires that mean and covariance of class is known. In other words, Probability Density of given class should be known to apply this method.Here, two... 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

XLSTAT is a complete analysis and statistics add-in for Excel. It has been developed since 1993. XLSTAT includes more than 240 features in general or field-specific solutions. The use of Excel as an interface makes XLSTAT a user-friendly and highly efficient statistical and multivariate data... Platforms: Windows, Windows 8, Windows 7, Windows Server

statistiXL is a powerful data analysis package that runs as an add-in to Windows versions of Microsoft Excel. statistiXL has been entirely designed and written by scientists in order to meet the demanding needs of anyone requiring access to a robust, versatile statistical analysis package that is... Platforms: Windows

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

Statistics software for data analysis and multivariate statistical analysis. Probability analysis. Compute descriptive statistics of selected data. Frequency analysis. Compare means and variances. Variance analysis. Z test. Correlation tests. Jarque Bera test. Non-parametric tests, including... Platforms: Windows, Windows 7, Windows Server

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