Clustering (version 1.7.3)

internal_validation: Method that applicate differents internal metrics about a data frame or matrix, for example dunn, connectivity etc

Description

Method that applicate differents internal metrics about a data frame or matrix, for example dunn, connectivity etc

Usage

internal_validation(
  distance = NULL,
  clusters_vector,
  dataf = NULL,
  method = CONST_EUCLIDEAN,
  metric = NULL
)

Arguments

distance

dissimilarity matrix

clusters_vector

array that containe tha data grouped in cluster

dataf

dataframe with original data

method

indicates the method for calculating distance between points

metric

array with external metric types

Value

returns a list of the internal results initialized to zero