initTarget {LearnClust} | R Documentation |
To initialize target, hierarchical correlation algorithm.
Description
To initialize target, hierarchical correlation algorithm. It checks if target is valid, if not, it initializes the target
Usage
initTarget(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 a valid target.
The function transforms the target into a matrix. Then, it checks if the target has only one row and the same columns has the main data.
If it is not a valid target, the function will notice the problem and will initialized a new target with every column with value 0.
Value
A cluster.
Author(s)
Roberto Alcántara roberto.alcantara@edu.uah.es
Juan José Cuadrado jjcg@uah.es
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(target1,dataFrame)
initTarget(target2,dataFrame)
[Package LearnClust version 1.1 Index]