Method that calculates which algorithm and which metric behaves best for the datasets provided.
data matrix or data frame with the result of running the clustering algorithm.
Method that calculates the behavior of dissimilarity measures by algorithm, so we can evaluate which of the different measures of dissimilarity used by the algorithms presents the best behavior. This method should be used to determine which dissimilarity measure has the best behavior for external evaluation measures.
a data.frame with the algorithms classified by measures of dissimilarity.
1 2 3 4 5 6 7 8 9 10
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.