clustInference-methods: A function to explore a dataset and cluster its rows.

Description Usage Arguments Value Author(s) Examples

Description

Based on soft clustering performed by the Mfuzz package.

Usage

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clustInference(microarray, vote.index, ...)

Arguments

microarray

A microarray to cluster

vote.index

Option for cluster attribution

...

Optional arguments:

new.window

Boolean. New X11 window for plots. Defaults to FALSE.

Value

A list of two elements:

res.matrix

A data.frame of nrows(microarray) observations of 3 variables (name, cluster, maj.vote.index).

prop.matrix

Additionnal info.

Author(s)

Bertrand Frederic, Myriam Maumy-Bertrand.

Examples

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library(Patterns)
if(require(CascadeData)){
data(micro_S, package="CascadeData")
D<-Patterns::as.micro_array(micro_S[1:20,],1:4,6)
b<-Patterns::clustInference(D,0.5)
b
}

fbertran/Patterns documentation built on Dec. 4, 2019, 1:12 p.m.