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.
python
internal
validation
clustering
evaluation
unsupervised-learning
clusters
pbm
indices
clustering-analysis
ball-hall
generalized-dunn-indexes
c-index
banfeld-raftery
davies-bouldin
calinski-harabasz
ray-turi
xie-beni
wemmert-gancarski
point-biserial
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Updated
Apr 1, 2022 - Python