Patterns (version 1.2)

unsupervised_clustering: Cluster a micro_array object: performs the clustering.

Description

Based on soft clustering performed by the Mfuzz package.

Usage

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.

Examples

# NOT RUN {
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)
}
# }