Simon-Bertrand/Clusters-Features

The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set. It computes approximatively 40 internal evaluation scores such as Davies-Bouldin Index, C Index, Dunn and its Generalized Indexes and many more ! Other features are also available to evaluate the clustering quality.

Language: Python - Size: 23.9 MB - Last synced at: 6 days ago - Pushed at: 6 months ago - Stars: 33 - Forks: 8