Clusters-Features
Simon-Bertrand
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.
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3 data points · 2022-09-24 → 2023-07-07How do you feel about this project?
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Question copied to clipboardWhat is the Simon-Bertrand/Clusters-Features GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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