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polyview 0.1.0 documentation
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polyview 0.1.0 documentation
  • Multi-View Clustering
    • Multi-View K-Means
    • Multi-View NMF
    • Multi-View Co-Training Spectral Clustering
    • Multi-View Co-Regularized Spectral Clustering
  • Datasets
    • Multi-view dataset container
    • Multi-view latent Gaussian dataset
  • Embedd
    • GCCA
    • MCCA
    • MvMDS
  • Base API
  • Augmentation
    • Random Projections
    • Random Subspace
    • Multi Kernels
    • View splitter
  • Fusion methods
    • Early Fusion
    • Kernel Fusion
    • Late Fusion
  • Imputation
    • Simple imputation
    • Nearest-neighbour imputation
    • Cross-view regression imputation
    • Complete-case analysis
    • Missingness masks
  • PolyPipeline
  • Utilities
    • Kernel utilities
    • Linear-algebra utilities
  • Examples
    • Pipeline Workflows
  • Miscellaneous
    • Contributing to polyview
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Utilities¶

Building blocks shared by several algorithm families, documented because they are useful on their own: the kernel helpers let you inspect and precondition a kernel before handing it to KernelFusion, and the linear-algebra helpers expose the truncated eigensolver the spectral methods are built on.

  • Kernel utilities
  • Linear-algebra utilities

See also¶

  • Fusion methods

  • Multi-View Clustering

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  • Utilities
    • See also