evaluate_validation_internal_by_metrics | R Documentation |
Method that calculates which algorithm behaves best for the datasets provided.
evaluate_validation_internal_by_metrics(df)
df |
data matrix or data frame with the result of running the clustering algorithm. |
It groups the results of the execution by algorithms.
A data.frame with all the algorithms that obtain the best results regardless of the dissimilarity measure used.
result = Clustering::clustering(
df = cluster::agriculture,
min = 4,
max = 5,
algorithm='kmeans_rcpp',
metrics=c("Recall","Silhouette")
)
Clustering::evaluate_validation_internal_by_metrics(result)
Clustering::evaluate_validation_internal_by_metrics(result$result)
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