ClusterNormalize: Cluster Normalize

In FCPS: Fundamental Clustering Problems Suite

Cluster Normalize

Description

Values in Cls are consistently recoded to positive consecutive integers

Usage

ClusterNormalize(Cls)

Arguments

Cls	[1:n numerical vector of numbers defining the classification as the main output of the clustering algorithm for the n cases of data. It has k unique numbers representing the arbitrary labels of the clustering.

Details

For recoding depending on cluster size please see ClusterRenameDescendingSize.

Value

The renamed classification. A vector of clusters recoded to positive consecutive integers.

Author(s)

.

See Also

ClusterRenameDescendingSize

Examples

data('Lsun3D')
Cls=Lsun3D$Cls
#not desceending cluster numbers
Cls[Cls==1]=543
Cls[Cls==4]=1

# Now ordered consecutively
ClusterNormalize(Cls)

FCPS documentation built on Oct. 19, 2023, 5:06 p.m.