evaluate_best_validation_external_by_metrics {Clustering} | R Documentation |
Method that calculates which algorithm and which metric behaves best for the datasets provided.
evaluate_best_validation_external_by_metrics(df, metric)
df |
Data matrix or data frame with the result of running the clustering algorithm. |
metric |
String with the metric. |
Method groups the data by algorithm and distance measure, instead of obtaining the best attribute from the data set.
A data.frame with the algorithms classified by measures of dissimilarity.
result = clustering(
df = cluster::agriculture,
min = 4,
max = 5,
algorithm='kmeans_rcpp',
metrics=c("F_measure"))
evaluate_best_validation_external_by_metrics(result,'F_measure')