Statistics Toolbox

swMATH ID: 10157
Software Authors: MathWorks
Description: Statistics Toolbox™ provides statistical and machine learning algorithms and tools for organizing, analyzing, and modeling data. You can use regression or classification for predictive modeling, generate random numbers for Monte Carlo simulations, use statistical plots for exploratory data analysis, and perform hypothesis tests. For analyzing multidimensional data, Statistics Toolbox includes algorithms that let you identify key variables that impact your model with sequential feature selection, transform your data with principal component analysis, apply regularization and shrinkage, or use partial least squares regression. The toolbox provides supervised and unsupervised machine learning algorithms, including support vector machines (SVMs), boosted and bagged decision trees, k-means and hierarchical clustering, k-nearest neighbor search, Gaussian mixtures, and hidden Markov models.
Homepage: http://www.mathworks.com/products/statistics/index.html?s_tid=gn_loc_drop
Dependencies: Matlab
Related Software: Matlab; MBoxtest; Tcodes; sg_min; LDR; envlp; NMFN; NMF DTU Toolbox; libNMF; NMF; ARPACK; BLAS; LAPACK; R; Spline Toolbox; numerical integration toolbox; Ezimplot3; Decision tree for optimization software; Genetic Algorithm and Direct Search Toolbox; Optimization Toolbox
Referenced in: 15 Publications

Referencing Publications by Year