ziLRhClust: Hierarchical Clustering Based on Log-Likelihood Ratio for Zero-Inflated Data
Version 0.2

Algorithm to process hierarchical clustering on individuals (from a matrix individuals x variables). The dissimilarity used in the observation space is the log-likelihood ratio, i.e. D(i,j) = log f(Y_i) + log f(Y_j) - log f(Y_i U Y_j) where Y_i is the vector of observations from individual i. The statistical model defining the considered likelihood is standard Gaussian or Zero-Inflated Gaussian (i.e. a Gaussian-Bernoulli mixture). The agglomeration method is also the log-likelihood ratio, however between clusters in this case.

Package details

AuthorGhislain Durif <ghislain.durif@univ-lyon1.fr>, Franck Picard <franck.picard@univ-lyon1.fr>
Date of publication2016-05-03 09:28:51
MaintainerGhislain Durif <ghislain.durif@univ-lyon1.fr>
LicenseGPL (>= 2)
Version0.2
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("ziLRhClust", repos="http://R-Forge.R-project.org")

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ziLRhClust documentation built on May 31, 2017, 3:28 a.m.