PAMhm
0.1.2Generate Heatmaps Based on Partitioning Around Medoids (PAM)
Overview
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.
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.2Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2021-09-06
- Total releases
- 1 / 5 yrs
- License
- GPL-3 OSI
- Download size
- 249 KB
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- not tracked yet
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- not tracked yet