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
)
Dissimilarity matrix.
Array that containe tha data grouped in cluster.
Dataframe with original data.
Indicates the method for calculating distance between points.
Array with external metric types.
Return a list of the internal results initialized to zero.