hybridHclust: Hybrid Hierarchical Clustering

Hybrid hierarchical clustering via mutual clusters. A mutual cluster is a set of points closer to each other than to all other points. Mutual clusters are used to enrich top-down hierarchical clustering.

Author
Hugh Chipman, Rob Tibshirani, with tsvq code originally from Trevor Hastie
Date of publication
2015-07-22 12:37:37
Maintainer
Hugh Chipman <hugh.chipman@acadiau.ca>
License
GPL-2
Version
1.0-5

View on CRAN

Man pages

eisenCluster
An implementation of Eisen's hierarchical clustering
get.distances
Extract Distances From Mutual Cluster
hybridHclust
Hybrid hierarchical clustering using mutual clusters.
mutualCluster
Find mutual clusters
print.mutualCluster
Printing Mutual Cluster Objects
sorlie
Gene expression data for breast cancer tumors
sorlielabels
Cluster labels for sorlie data
tsvq
Tree Structured Vector Quantization

Files in this package

hybridHclust
hybridHclust/NAMESPACE
hybridHclust/demo
hybridHclust/demo/00Index
hybridHclust/demo/hybridHclust.R
hybridHclust/data
hybridHclust/data/sorlie.RData
hybridHclust/data/sorlielabels.RData
hybridHclust/R
hybridHclust/R/tsvq.R
hybridHclust/R/eisencluster.R
hybridHclust/R/hybridhclust.R
hybridHclust/R/mutualcluster.R
hybridHclust/MD5
hybridHclust/DESCRIPTION
hybridHclust/man
hybridHclust/man/mutualCluster.Rd
hybridHclust/man/tsvq.Rd
hybridHclust/man/print.mutualCluster.Rd
hybridHclust/man/eisenCluster.Rd
hybridHclust/man/get.distances.Rd
hybridHclust/man/hybridHclust.Rd
hybridHclust/man/sorlielabels.Rd
hybridHclust/man/sorlie.Rd