best_ranked_internal_metrics function

Best rated internal metrics.

Method in charge of searching for each algorithm those that have the best internal classification.

Method that looks for those internal attributes that are better classified, making use of the Var column. In this way we discard the attributes and only work with those that give the best response to the algorithm in question.

best_ranked_internal_metrics(df)

Arguments

• df: Matrix or data frame with the result of running the clustering algorithm.

Returns

Returns a data.frame with the best classified internal attributes.

Examples

result = Clustering::clustering(
               df = cluster::agriculture,
               min = 4,
               max = 5,
               algorithm='gmm',
               metrics=c("Recall")
         )

Clustering::best_ranked_internal_metrics(df = result)