best_ranked_internal_metrics: Best rated internal metrics.

In laperez/Clustering: Techniques for Evaluating Clustering

Best rated internal metrics.

Description

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.

Usage

best_ranked_internal_metrics(df)

Arguments

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

Value

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

Examples

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

best_ranked_internal_metrics(df = result)

laperez/Clustering documentation built on June 25, 2022, 5:48 p.m.