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 !

JSON API: https://data.code.gouv.fr/api/v1/hosts/gitlab.unistra.fr/repositories/simonbertrand%2FClusters-Features

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License: gpl-3.0+
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Dependencies parsed at: Pending

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

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gitlab.unistra.fr / simonbertrand / Clusters-Features