README.md

In harrysouthworth/conclus: Consensus Clustering

Consensus Clustering in R

This is the consensus clustering approach of Monti, Tamayo, Mesirov and Golub. Features include the following.

• Users can provide their own clustering functions into conclus.
• The returned object has print, summary and ggplot methods.
• The object returned by summary has its own print and ggplot methods.
• Designed to work specifically with dissimilarity or dist matrices.
• Test suite.

AstraZeneca is partially funding this work.

Updates

• 2018-03-26. If a cluster had ties in terms of representative items, the representatives function returned a list. The function now arbitrarily returns the first representative item per cluster.

References

S. Monti, P. Tamayo, J. Mesirove and T. Golub, Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data, Machine Learning, 52, 91 -- 118, 2003

harrysouthworth/conclus documentation built on May 24, 2019, 4:05 a.m.