unsupervised_clustering: Cluster a micro_array object: performs the clustering.

Description Usage Arguments Value Author(s) Examples

Description

Based on soft clustering performed by the Mfuzz package.

Usage

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unsupervised_clustering(M1, clust, mestim, ...)

Arguments

M1

Object of micro_array class.

clust

Number of clusters.

mestim

Fuzzification parameter.

...

Additional parameters.

Value

An object of class micro_array with the group slot updated by groups deduced from the soft clustering result.

Author(s)

Bertrand Frederic, Myriam Maumy-Bertrand.

Examples

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if(require(CascadeData)){
data(micro_S, package="CascadeData")
M<-as.micro_array(micro_S[51:100,],1:4,6)
mc<-unsupervised_clustering_auto_m_c(M)
MwithGrp=unsupervised_clustering(M, 4, mc$m, screen=NULL, heatmap=FALSE, new.window = FALSE)
# Other options
unsupervised_clustering(M, 4, mc$m, screen=c(2,2), heatmap=TRUE, new.window = FALSE)
# Plot the clusters
plot(MwithGrp)
}

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