JOSS Papers: Principal Component Analysis

Published Papers

published Published 3 months ago

open_nipals: An sklearn-compatible Python package for NIPALS dimensionality reduction

Jupyter Notebook Python

@nielsschlusser

10.21105/joss.08598

published Published 7 months ago

FastPCA: An R package for fast singular value decomposition

R C++ Perl Python

10.21105/joss.09706

published Published 8 months ago

OnlinePCA.jl: A Julia Package for Out-of-core and Sparse Principal Component Analysis

Julia

10.21105/joss.09343

published Published over 1 year ago

ExpFamilyPCA.jl: A Julia Package for Exponential Family Principal Component Analysis

Julia

@FlyingWorkshop

10.21105/joss.07403

published Published almost 5 years ago

ordPens: An R package for Selection, Smoothing and Principal Components Analysis for Ordinal Variables

R

10.21105/joss.03828

published Published over 6 years ago

scPCA: A toolbox for sparse contrastive principal component analysis in R

R

10.21105/joss.02079

published Published about 7 years ago

hoggorm: a python library for explorative multivariate statistics

Python

10.21105/joss.00980

published Published over 8 years ago

micompm: A MATLAB/Octave toolbox for multivariate independent comparison of observations

Matlab

10.21105/joss.00430

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