initTarget.details: To initialize target, hierarchical correlation algorithm.

In LearnClust: Learning Hierarchical Clustering Algorithms

Description

To initialize target, hierarchical correlation algorithm. It checks if target is valid, if not, it initializes the target

Usage

initTarget.details(target, data)

Arguments

target	is a numeric vector, a matrix or a data frame.
data	is a data frame with the main data.

Details

This function is part of the hierarchical correlation method. The function initializes target and checks if it is an acceptable target.

The function transforms the target into a matrix. Then, it checks if the target has only one row and the same columns have the main data.

If it is not an acceptable target, the function will notice the problem and will initialize a new target with every column with value 0.

Value

A cluster. Explanation.

Author(s)

Roberto Alcántara [e-mail]

Juan José Cuadrado [e-mail]

Universidad de Alcalá de Henares

Examples

data <- matrix(c(1,2,1,4,5,1,8,2,9,6,3,5,8,5,4),ncol= 3)

dataFrame <- data.frame(data)

target1 <- matrix(c(2,3))

target2 <- matrix(c(2,3,6))

initTarget.details(target1,dataFrame)

initTarget.details(target2,dataFrame)

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