'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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("chickn")

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