PAMhm {PAMhm}

Generate Heatmaps Based on Partioning Around Medoids (PAM)

Description

Data are partitioned (clustered) into k clusters "around medoids", which is a more robust version of K-means implemented in the function pam() in the 'cluster' package. The PAM algorithm is described in Kaufman and Rousseeuw (1990) <doi:10.1002/9780470316801>. Please refer to the pam() function documentation for more references. Clustered data is plotted as a split heatmap allowing visualisation of representative "group-clusters" (medoids) in the data as separated fractions of the graph while those "sub-clusters" are visualised as a traditional heatmap based on hierarchical clustering.

Details

Package:	PAMhm
Type:	Package
Initial version:	0.1-0
Created:	2011-01-07
License:	GPL-3
LazyLoad:	yes

Author(s)

Vidal Fey <[e-mail]>, Henri Sara <[e-mail]> Maintainer: Vidal Fey <[e-mail]>