Transform.vector.to.list: Vector to list transformation of cluster representation

In clusterv: Assessment of Cluster Stability by Randomized Maps

Vector to list transformation of cluster representation

Description

It transforms a clustering from a vector representation to a list representation. It accepts as input a vector that represents a clustering; the indices of the vectors refer to the examples and their integer content to the number of the cluster they belong. The function returns a list that represents the same clustering; each element of the list is a vector representing the cluster. The elements of the vectors are the indices of the examples (that is they correspond to the indices of the vector representation of the clustering). This list representation of the cluster may be used to compute the validity indices of the clustering.

Usage

Transform.vector.to.list(v)

Arguments

v	vector representing the clustering

Value

a list that represents the clustering; each element is a vector representing a single cluster.

Examples

library(cluster);
# transforming a clustering vector obtained with PAM to a clustering list
M <- generate.sample0(n=10, m=2, sigma=1, dim=500)
clustering.vector <- pam (t(M),3,cluster.only=TRUE);	
clustering.list <- Transform.vector.to.list(clustering.vector);
# transforming a clustering vector obtained with kmeans to a clustering list
r<-kmeans(t(M), 3, 100);
clustering.list.kmeans <- Transform.vector.to.list(r$cluster);

clusterv documentation built on June 8, 2025, 10:21 a.m.