getCluster.details: To explain how to get the clusters with minimal distance.

In LearnClust: Learning Hierarchical Clustering Algorithms

Description

To explain how to get the clusters with the minimal distance value. By using the given distance, it gets the matrix index.

Usage

getCluster.details(distance, matrix)

Arguments

distance	is a number. It should be in the matrix.
matrix	is a numeric matrix.

Details

This function is part of the hierarchical clusterization method. The function uses the distance value and gets the clustersId with the minimal distance.

For the divisive algorithm, it chooses the distances from a distances list.

Value

Numeric vector with two clusters indexs.

Author(s)

Roberto Alcántara [e-mail]

Juan José Cuadrado [e-mail]

Universidad de Alcalá de Henares

Examples

matrixExample <- matrix(c(1:10), ncol=2)

getCluster.details(2,matrixExample)

LearnClust documentation built on Nov. 30, 2020, 1:09 a.m.