sorlielabels

In Sorlie et. al. (2001), M. Eisen's cluster
  software was used to cluster the 85 samples into 5 groups.  These labels
  contained in the vector sorlie.labels.  The naming of the five clusters
is as follows: <p></p><p>1: basal-like (14 observations)
2: ERBB2+ (11 observations)
3: Normal (13 observations)
4: Lumnial B/C (15 observations)
5: Luminal A (32 observations)
    </p>

datasets

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.

Hugh Chipman

sorlielabels: Cluster labels for sorlie data

Description

Usage

Arguments

Format

References