evaluate_best_validation_internal_by_metrics | R Documentation |
Method that calculates which algorithm and which metric behaves best for the datasets provided.
evaluate_best_validation_internal_by_metrics(df, metric)
df |
Data matrix or data frame with the result of running the clustering algorithm. |
metric |
It's a string with the metric to evaluate. |
This 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='gmm', metrics=c("Precision","Connectivity") ) evaluate_best_validation_internal_by_metrics(result,"Connectivity")
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