internal_validation {Clustering} | R Documentation |
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.
[Package Clustering version 1.7.10 Index]