internal_validation function

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

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.

Returns

Return a list of the internal results initialized to zero.