'Compressive' Hierarchical Kernel Clustering Toolbox

Routines for efficient cluster analysis of large scale data. This package implements the 'CHICKN' clustering algorithm (see 'Permiakova' 'et' 'al.' (2020) "'CHICKN': Extraction of 'peptide' 'chromatographic' 'elution' profiles from large scale mass 'spectrometry' data by means of 'Wasserstein' 'compressive' hierarchical cluster analysis"). Functions for data compression, hierarchical clustering and post processing are provided.


Reference manual

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1.2.3 by Olga Permiakova, a year ago

Browse source code at https://github.com/cran/chickn

Authors: Olga Permiakova [aut, cre] , Romain Guibert [aut] , Thomas Burger [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, bigstatsr, RcppParallel, mvnfast, zipfR, MASS, pracma, nloptr, foreach, doRNG, parallel, doParallel, Rdpack

Linking to Rcpp, RcppArmadillo, RcppParallel, bigstatsr, rmio

System requirements: C++11

Imported by SSDL.

See at CRAN