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clustering-analysis x

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CRATE: Accurate and efficient clustering-based nonlinear analysis of heterogeneous materials through computational homogenization

Clusters Features ⭐ 8

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.

Drought_clusters ⭐ 7

Code used to identify and analyze drought clusters from gridded data.

Mep Orthogonal Nmf ⭐ 6

Clustering and resource allocation using Deterministic Annealing Approach and Orthogonal Non-negative Matrix Factorization O-(NMF)

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