getClusterDivisive.details: To explain how to get the clusters with maximal distance.

In LearnClust: Learning Hierarchical Clustering Algorithms

Description

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

Usage

getClusterDivisive.details(distance, vector)

Arguments

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

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

A cluster. Explanation.

Author(s)

Roberto Alcántara [e-mail]

Juan José Cuadrado [e-mail]

Universidad de Alcalá de Henares

Examples

getClusterDivisive.details(2,c(1:10))

getClusterDivisive(6,c(2,4,6,8,10,12))

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