🥳 RAPIDMINER 9.9 IS OUT!!! 🥳
The updates in 9.9 power advanced use cases and offer productivity enhancements for users who prefer to code.
Evaluate a cosine-measure Clustering by Davies Bouldin
I am running a process which contains a k-means operator with "cosine similarity measure". and I want to evaluate it with a "cluster distance performance" operator with "Davies Bouldin" measure. As far as I know, the Davies bouldin measure is calculated by "Eucledian distance" measure, But my cluster model has been built upon a "cosine similarity measure". SO how can I evaluate a cosine-based k-means? Any idea please?