normalizeWeight.details: To normalize weight values.

In LearnClust: Learning Hierarchical Clustering Algorithms

Description

To explain how to normalize weight values if normalize = TRUE.

Usage

normalizeWeight.details(normalize, weight, data)

Arguments

normalize	is a boolean value.
weight	is a numeric vector.
data	is a data.frame.

Details

This function allows users to normalize weights.

If there is not any weight, the function will create a numeric vector of "1".

If normalize = TRUE, the function will make every weight value as a "[0:1]" value.

If normalize = FALSE, the function will not make any changes, weights will be the same.

Value

Numeric vector with updated weights. Explanation.

Author(s)

Roberto Alcántara [e-mail]

Juan José Cuadrado [e-mail]

Universidad de Alcalá de Henares

Examples

data <- data.frame(matrix(c(1:10),ncol = 2))

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

normalizeWeight.details(FALSE, weight1, data)

normalizeWeight.details(TRUE, weight2, data)

normalizeWeight.details(FALSE, weight2, data)

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