CRAN/E | PAMhm

PAMhm

Generate Heatmaps Based on Partitioning Around Medoids (PAM)

Installation

About

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.

Key Metrics

Version 0.1.2
Published 2021-09-06 935 days ago
Needs compilation? no
License GPL-3
CRAN checks PAMhm results

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Maintainer

Maintainer

Vidal Fey

vidal.fey@gmail.com

Authors

Vidal Fey

aut / cre

Henri Sara

aut

Material

Reference manual
Package source

Vignettes

Generate Heatmaps Based on Partitioning Around Medoids (PAM)

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

heatmapFlex
cluster
grDevices
graphics
stats

Imports

RColorBrewer
R.utils
readxl
readmoRe
utils
plyr
robustHD

Suggests

rmarkdown
knitr