distances.details: To calculate distances applying weights.

In LearnClust: Learning Hierarchical Clustering Algorithms

Description

To explain how to calculate distances between two clusters applying weights depending on the distance type.

Usage

distances.details(cluster1, cluster2, distance, weight)

Arguments

cluster1	is a matrix.
cluster2	is a matrix.
distance	is a string. The distance type to apply.
weight	is a numeric vector.

Details

This function calculates distance applying distance type and applying each weight to its characteristic.

Distance type could be EUC, MAN, CAN, CHE or OCT.

Value

Distance value applying weights. Explanation.

Author(s)

Roberto Alcántara [e-mail]

Juan José Cuadrado [e-mail]

Universidad de Alcalá de Henares

Examples

cluster1 <- matrix(c(2,3))
cluster2 <- matrix(c(4,5))

weight1 <- c(0.6,0.4)
weight2 <- c(2,4)

distances.details(cluster1, cluster2, 'MAN', weight1)

distances.details(cluster1, cluster2, 'CHE', weight2)

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