gitlab.unistra.fr / simonbertrand / 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 many internal evaluation scores such as Davies-Bouldin Index, Dunn and its Generalized Indexes and more !
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License: gpl-3.0+
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Dependencies parsed at:
9
Created at: almost 4 years ago
Updated at: 11 months ago
Pushed at: 11 months ago
Last synced at: 12 months ago
Topics: clustering quality, data mining, data science, indexes, indices, unsupervised learning
requirements.txt
pypi
- Pillow *
- numba *
- numpy *
- pandas *
- plotly *
- scikit-learn *
- scipy *
- statsmodels *
- umap-learn >=0.5.1
setup.py
pypi