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  • Install
    • Installing the released version with pip
      • Including optional torch dependencies for full functionality
    • Installing the released version with conda-forge
    • Python package dependencies
    • Hardware requirements
    • OS Requirements
    • Testing
  • Tutorials
    • Clustering
      • Multi-view KMeans
      • Assessing the Conditional Independence Views Requirement of Multi-view KMeans
      • Multi-view vs. Single-view KMeans
      • Multi-view Spectral Clustering
      • Assessing the Conditional Independence Views Requirement of Multi-view Spectral Clustering
      • Multi-view vs Single-view Spectral Clustering
      • Multi-view Spherical KMeans
      • Multi-view vs Single-view Spherical KMeans
      • Using the Multi-view Clustering Algorithm to Cluster Data with Multiple Views
      • Multi-view Vs Single-view Visualization and Clustering
    • Semi-Supervised
      • Co-Training 2-View Semi-Supervised Classification
      • Cotraining classification performance in simulated multiview scenarios
      • Co-Training 2-View Semi-Supervised Regression
    • Embedding
      • Generalized Canonical Correlation Analysis (GCCA)
      • GCCA vs PCA
      • Kernel CCA (KCCA)
      • Kernel CCA: ICD Method
      • Deep CCA (DCCA)
      • CCA Variants Comparison
      • Multiview Multidimensional Scaling (MVMDS)
      • MVMDS vs PCA
      • Omnibus Embedding for Multiview Data
      • SplitAE Embeddings on multiview MNIST data
      • Predicting views using SplitAE
    • Decomposition
      • Angle-based Joint and Individual Variation (AJIVE) Explained
      • Multiview Independent Component Analysis (ICA) Tutorial
      • Group ICA: a tutorial
    • Pipeline
      • Integrating mvlearn with scikit-learn
      • ViewTransformer
      • Mergers
      • Pipeline example: group-ICA
    • Plotting
      • Using quick_visualize() to quickly understand multi-view data
      • Plotting Across 2 Views
    • Test Dataset
      • Loading and Viewing the UCI Multiple Features Dataset
      • Multiview Data from Gaussian Mixtures
      • Multi-view Vs Single-view Visualization and Clustering
  • Reference
    • Clustering
      • Multiview Spectral Clustering
      • Co-Regularized Multiview Spectral Clustering
      • Multiview K Means
      • Multiview Spherical K Means
    • Semi-Supervised
      • Cotraining Classifier
      • Cotraining Regressor
    • Embedding
      • Generalized Canonical Correlation Analysis
      • Kernel Canonical Correlation Analysis
      • Deep Canonical Correlation Analysis
      • Omnibus Embedding
      • Multiview Multidimensional Scaling
      • Split Autoencoder
      • DCCA Utilities
      • Dimension Selection
    • Decomposition
      • Multiview ICA
      • Permutation ICA
      • Group ICA
      • Group PCA
      • Angle-Based Joint and Individual Variation Explained (AJIVE)
    • View Construction
      • Random Gaussian Projection
      • Random Subspace Method
    • Model Selection
      • Cross Validation
    • Compose
      • AverageMerger
      • ConcatMerger
      • SimpleSplitter
    • Preprocessing
      • ViewTransformer
    • Multiview Datasets
      • UCI multiple feature dataset (located here)
      • Data Simulator
    • Plotting
      • Quick Visualize
      • Crossviews Plot
    • Utility Functions
      • IO
  • Contributing to mvlearn
    • Submitting a bug report or a feature request
      • How to make a good bug report
    • Contributing Code
      • Pull Request Checklist
    • Guidelines
      • Coding Guidelines
      • Docstring Guidelines
    • API of mvlearn Objects
      • Estimators
      • Additional Functionality
  • Changelog
    • Version 0.4.0
      • mvlearn.compose
      • mvlearn.decomposition
      • mvlearn.model_selection
      • mvlearn.preprocessing
    • Version 0.3.0
    • Patch 0.2.1
    • Version 0.2.0
    • Version 0.1.0
  • License

Useful Links

  • mvlearn @ GitHub
  • mvlearn @ PyPI
  • Issue Tracker
mvlearn
  • Docs »
  • Reference
  • Edit on GitHub

ReferenceΒΆ

The package is split up into submodules.

  • Clustering
    • Multiview Spectral Clustering
    • Co-Regularized Multiview Spectral Clustering
    • Multiview K Means
    • Multiview Spherical K Means
  • Semi-Supervised
    • Cotraining Classifier
    • Cotraining Regressor
  • Embedding
    • Generalized Canonical Correlation Analysis
    • Kernel Canonical Correlation Analysis
    • Deep Canonical Correlation Analysis
    • Omnibus Embedding
    • Multiview Multidimensional Scaling
    • Split Autoencoder
    • DCCA Utilities
    • Dimension Selection
  • Decomposition
    • Multiview ICA
    • Permutation ICA
    • Group ICA
    • Group PCA
    • Angle-Based Joint and Individual Variation Explained (AJIVE)
  • View Construction
    • Random Gaussian Projection
    • Random Subspace Method
  • Model Selection
    • Cross Validation
  • Compose
    • AverageMerger
    • ConcatMerger
    • SimpleSplitter
  • Preprocessing
    • ViewTransformer
  • Multiview Datasets
    • UCI multiple feature dataset (located here)
    • Data Simulator
  • Plotting
    • Quick Visualize
    • Crossviews Plot
  • Utility Functions
    • IO
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