Patterns (version 1.1)

unsupervised_clustering_auto_m_c: Cluster a micro_array object: determine optimal fuzzification parameter and number of clusters.

Description

Based on soft clustering performed by the Mfuzz package.

Usage

unsupervised_clustering_auto_m_c(M1, ...)

Arguments

M1

Object of micro_array class.

…

Additional parameters.

Value

m

Estimate of the optimal fuzzification parameter.

c

Estimate of the optimal number of clusters.

csearch

More result from the cselection function of the Mfuzz package

Examples

# NOT RUN {
if(require(CascadeData)){
data(micro_S, package="CascadeData")
M<-as.micro_array(micro_S[1:100,],1:4,6)
mc<-unsupervised_clustering_auto_m_c(M)
}
# }