Paketti: libstatistics-pca-perl (0.0.1-2)

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perl module for principal component analysis (PCA)

Statistics::PCA provides functions for principal component analysis (PCA). PCA transforms higher-dimensional data consisting of a number of possibly correlated variables into a smaller number of uncorrelated variables termed principal components (PCs). The higher the ranking of the PCs the greater the amount of variability that the PC accounts for.

This PCA procedure involves the calculation of the eigenvalue decomposition from a data covariance matrix after mean centering the data.

See https://en.wikipedia.org/wiki/Principal_component_analysis

Muut pakettiin libstatistics-pca-perl liittyvät paketit

depends

recommends

suggests

enhances

dep: libcontextual-return-perl

module for creating context-sensitive return values
dep: libmath-cephes-perl

perl interface to the math cephes library
dep: libmath-matrixreal-perl

module to manipulate NxN matrices of real numbers
dep: libtext-simpletable-perl

Perl module for creating simple eyecandy ASCII Tables
dep: perl

Larry Wallin kieli tekstitiedostojen analysointia ja raportointia varten

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