ziLRhClust-package: Hierarchical Clustering Based on Log-Likelihood Ratio for...

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

Description

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.

Details

The DESCRIPTION file: This package was not yet installed at build time.

Index: This package was not yet installed at build time.

Author(s)

Ghislain Durif <[e-mail]>, Franck Picard <[e-mail]>

Maintainer: Ghislain Durif <[e-mail]>

References

~~ Literature or other references for background information ~~

See Also

hclust

ziLRhClust documentation built on May 2, 2019, 5:24 p.m.