HCtbl: Hierarchical clustering of spectral similarity data

Description Usage Arguments Value See Also Examples

View source: R/hierarchical_clustering.R

Description

HCtbl() performs hierarchical clustering of spectral similarity data using average linkage as agglomeration criterion.

Usage

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HCtbl(distmat, h = 0.95)

Arguments

distmat

A distance matrix as generated by distanceMatrix.

h

Height where the tree is to be cut, defaults to 0.95. See cutree for details.

Value

A data.frame with name and cluster ID for each feature in distmat.

See Also

HCplot

Examples

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load(file = system.file("extdata",
    "distmat.RData",
    package = "CluMSIDdata"))

my_HCtbl <- HCtbl(distmat[1:50,1:50], h = 0.8)

CluMSID documentation built on April 29, 2020, 5:20 a.m.