CritCF: 'CritCF' index

In LilithF/doMIsaul: Do Multiple Imputation-Based Semi-Supervised and Unsupervised Learning

Description

Computes CritCF index for the selected number of clusters and clustering algorithm.

Usage

CritCF(data, k, method, distance, Seed = 1)

Arguments

data	dataframe for which the number of cluster should be estimated.
k	integer, number of clusters.
method	string, clustering algorithm to use. Available values are "kmeans", "hc" (for hclust()) or "mclust".
distance	string, distance between the observations (either "euclidean" or "manhattan").
Seed	If not null, passed to set.seed() before generating the partition.

Value

a list, containing the criterion value and the partition

LilithF/doMIsaul documentation built on Dec. 17, 2021, 12:08 a.m.