clusterDistanceByApproach.details: To explain how to calculate the distance by approach option.

In LearnClust: Learning Hierarchical Clustering Algorithms

Description

To explain how to calculate the distance depending on option given.

Usage

clusterDistanceByApproach.details(distances, approach)

Arguments

distances	is a numeric vector.
approach	is a string. Type of function to apply.

Details

This function is part of the hierarchical clusterization method. The function explains how to calculate the distance value from distances.

approach indicates the algorithm used to get the value. Possible values: 'MAX', 'MIN', 'AVG'.

Value

max, min or average from a vector.

Author(s)

Roberto Alcántara [e-mail]

Juan José Cuadrado [e-mail]

Universidad de Alcalá de Henares

Examples

distances1 <- c(4,14,24,34)

distances2 <- c(1:10)

clusterDistanceByApproach(distances1,'MAX')

clusterDistanceByApproach(distances2,'MIN')

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