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stable
  • 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
    • 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
    • View 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
      • Angle-Based Joint and Individual Variation Explained (AJIVE)
    • View Construction
      • Random Gaussian Projection
      • Random Subspace Method
    • 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 0.3.0
    • Patch 0.2.1
    • Version 0.2.0
    • Version 0.1.0
  • License

Useful Links

  • mvlearn @ GitHub
  • mvlearn @ PyPI
  • Issue Tracker
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