internal_validation: Method that applicate differents internal metrics about a...

In laperez/Clustering: Techniques for Evaluating Clustering

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

Return a list of the internal results initialized to zero.

laperez/Clustering documentation built on April 23, 2024, 3:41 a.m.