PAMhm: Generate Heatmaps Based on Partioning Around Medoids (PAM)

Description Details Author(s)

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 <vidal.fey@gmail.com>, Henri Sara <henri.sara@gmail.com> Maintainer: Vidal Fey <vidal.fey@gmail.com>


PAMhm documentation built on Sept. 6, 2021, 9:10 a.m.