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pypi.org : structuredgraphlearning

spectralGraphTopology provides estimators to learn k-component, bipartite, and k-component bipartite graphs from data by imposing spectral constraints on the eigenvalues and eigenvectors of the Laplacian and adjacency matrices. Those estimators leverage spectral properties of the graphical models as a prior information which turn out to play key roles in unsupervised machine learning tasks such as clustering.

Registry - Source - Homepage - Documentation - JSON
purl: pkg:pypi/structuredgraphlearning
Keywords: Graph, Learning, Spectral
License: MIT
Latest release: about 3 years ago
First release: about 3 years ago
Dependent repositories: 1
Downloads: 16 last month
Last synced: 25 days ago

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