method in charge of searching for each algorithm those that have the best external classification.
Method that looks for those external variables that are better classified, making use of the ranking column. In this way we discard the rest of the variables and only work with those that give the best response to the algorithm in question.
matrix or data frame with the result of running the clustering algorithm.
Returns a data.frame with the best classified external variables.
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