variable.clustering: Variable Clustering

In ayhandis/creditR: A Credit Risk Scoring and Validation Package

Description

This function allows you to perform variable clustering for a given data set. Number of clusters can be determined optimally or manually.The clusGap function is used for optimal clustering.

Usage

variable.clustering(data, default_flag, cluster_number = "optimal")

Arguments

data	A data set needs to be defined.
default_flag	Default flag must be specified as a string.
cluster_number	(Default = "optimal"), If the optimal option is selected, clustering is performed over the optimal number of clustering determined by function.

Examples

variable.clustering(credit_data, "default_flag", cluster_number = "optimal")

ayhandis/creditR documentation built on May 9, 2019, 8:41 a.m.