hCluster-methods: Hierarchical Cluster Analysis

Description Usage Arguments Value

Description

Hierarchical Cluster Analysis

Usage

1
2
  hCluster(x, dist.method = "correlation", hclust.method =
  "ward", plot = TRUE)

Arguments

x

a matrix object, each column is a sample, each row is a feature

dist.method

the distance measure to be used. This must be one of "correlation", "euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski". Any unambiguous substring can be given. (default:"correlation")

hclust.method

the agglomeration method to be used. This should be (an unambiguous abbreviation of) one of "ward", "single", "complete", "average", "mcquitty", "median" or "centroid". (default:"ward")

plot

a logical value indicating whether to plot hierarchical clustering. (default:TRUE)

Value

a tree object of a hierarchical cluster analysis using a set of dissimilarities for the n objects being clustered.


ShengLi/Rutilities documentation built on May 10, 2017, 1:35 p.m.