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Spectral clustering: support pre-calculated affinity matrix, revamp API #1835
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Spectral clustering: support pre-calculated affinity matrix, revamp API #1835
ClaudiaComito
wants to merge
106
commits into
main
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features/1740-Support_pre-calculated_affinity_matrix_in_ht_cluster_Spectral
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…y_matrix_in_ht_cluster_Spectral
…D_based_on_Zolotarev-polar_decomposition' into features/1740-Support_pre-calculated_affinity_matrix_in_ht_cluster_Spectral
Contributor
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Thank you for the PR! |
…y_matrix_in_ht_cluster_Spectral
…y_matrix_in_ht_cluster_Spectral
…y_matrix_in_ht_cluster_Spectral
…y_matrix_in_ht_cluster_Spectral
Contributor
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Thank you for the PR! |
Contributor
Author
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TODO:
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Contributor
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Thank you for the PR! |
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This pull request is stale because it has been open for 60 days with no activity. |
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Update after #1964 is merged |
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Due Diligence
Description
This PR introduces some changes to the Spectral clustering class (see below), this work in connection with parallelization efforts of the SCIMES package with @dcolombo
Issue/s resolved: #1740
Changes proposed:
SpectralClustering(formerlySpectral) to match API of the current scikit-learn versionmetricparameter toaffinityto match sklearneigen_solver, with optionslanczosandzolotarev(Default:zolotarev) (e.g. Implement polar decomposition #1697 and Features/1723 Symmetric Eigenvalue Decomposition (eigh) and full SVD (svd) based on Zolotarev Polar Decomposition #1824 )n_components,random_stateto match scikit-learn API__spectral_embeddingis now just the embedding, like for scikit-learn (instead of eigenvalues and eigenvectors);DNDarray.diagonal()for convenience and to match numpy APIType of change
Memory requirements
NA
Performance
NA
Does this change modify the behaviour of other functions? If so, which?
no