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<!DOCTYPE html>
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<title>Search — mvlearn alpha documentation</title>
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<p class="caption" role="heading"><span class="caption-text">Using mvlearn</span></p>
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<li class="toctree-l1"><a class="reference internal" href="index.html">Overview of mvlearn</a></li>
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<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_coregularized_spectral_tutorial.html">Multiview Coregularized Spectral Clustering Comparison</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_spherical_kmeans_tutorial.html">Multiview Spherical KMeans Tutorial</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_kmeans_tutorial.html">Multiview KMeans Tutorial</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_vs_singleview_spectral.html">Multiview vs. Singleview Spectral Clustering of UCI Multiview Digits</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_kmeans_validation_simulated.html">Multiview vs. Singleview KMeans</a></li>
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<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_spectral_validation_complex.html">Conditional Independence of Views on Multiview Spectral Clustering</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/cluster/plot_mv_kmeans_validation_complex.html">Conditional Independence of Views on Multiview KMeans Clustering</a></li>
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<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#examples-on-compose">Examples on compose</a><ul>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/compose/plot_multiview_construction.html">Constructing multiple views to classify singleview data</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/compose/plot_pipeline_sklearn_integration.html">Integrating mvlearn with scikit-learn</a></li>
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<li class="toctree-l3"><a class="reference internal" href="auto_examples/datasets/plot_load_ucimultifeature.html">Loading and Viewing the UCI Multiple Features Dataset</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/datasets/plot_gaussianmixtures.html">Generating Multiview Data from Gaussian Mixtures</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/datasets/plot_nutrimouse.html">An mvlearn case study: the Nutrimouse dataset</a></li>
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<li class="toctree-l3"><a class="reference internal" href="auto_examples/decomposition/plot_group_ica_tutorial.html">ICA: a tutorial</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/decomposition/plot_mv_ica_tutorial.html">Multiview Independent Component Analysis (ICA) Comparison</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/decomposition/plot_ajive_tutorial.html">Angle-based Joint and Individual Variation Explained (AJIVE)</a></li>
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<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#examples-on-embed">Examples on embed</a><ul>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/embed/plot_gcca_tutorial.html">Generalized Canonical Correlation Analysis (GCCA) Tutorial</a></li>
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<li class="toctree-l3"><a class="reference internal" href="auto_examples/embed/plot_dcca_tutorial.html">Deep CCA (DCCA) Tutorial</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/embed/plot_kmcca_pgso_tutorial.html">Partial Gram-Schmidt Orthogonalization (PGSO) for KMCCA</a></li>
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<li class="toctree-l3"><a class="reference internal" href="auto_examples/embed/plot_cca_comparison.html">Comparing CCA Variants</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/embed/plot_kmcca_tutorial.html">Kernel MCCA (KMCCA) Tutorial</a></li>
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<li class="toctree-l3"><a class="reference internal" href="auto_examples/plotting/plot_quick_visualize_tutorial.html">Quickly Visualizing Multiview Data</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/plotting/plot_crossviews_plot.html">Plotting Multiview Data with a Cross-view Plot</a></li>
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<li class="toctree-l2"><a class="reference internal" href="auto_examples/index.html#examples-on-semi-supervised">Examples on semi_supervised</a><ul>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/semi_supervised/plot_cotraining_regression.html">2-View Semi-Supervised Regression</a></li>
<li class="toctree-l3"><a class="reference internal" href="auto_examples/semi_supervised/plot_cotraining_classification.html">2-View Semi-Supervised Classification</a></li>
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<li class="toctree-l1"><a class="reference internal" href="references/index.html">Reference</a><ul>
<li class="toctree-l2"><a class="reference internal" href="references/embed.html">Embedding</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#canonical-correlation-analysis-cca">Canonical Correlation Analysis (CCA)</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#multiview-canonical-correlation-analysis-mcca">Multiview Canonical Correlation Analysis (MCCA)</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#kernel-mcca">Kernel MCCA</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#generalized-canonical-correlation-analysis-gcca">Generalized Canonical Correlation Analysis (GCCA)</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#deep-canonical-correlation-analysis-dcca">Deep Canonical Correlation Analysis (DCCA)</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#multiview-multidimensional-scaling">Multiview Multidimensional Scaling</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#split-autoencoder">Split Autoencoder</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#dcca-utilities">DCCA Utilities</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/embed.html#dimension-selection">Dimension Selection</a></li>
</ul>
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<li class="toctree-l2"><a class="reference internal" href="references/decomposition.html">Decomposition</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/decomposition.html#multiview-ica">Multiview ICA</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/decomposition.html#group-ica">Group ICA</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/decomposition.html#group-pca">Group PCA</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/decomposition.html#angle-based-joint-and-individual-variation-explained-ajive">Angle-Based Joint and Individual Variation Explained (AJIVE)</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="references/cluster.html">Clustering</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/cluster.html#multiview-spectral-clustering">Multiview Spectral Clustering</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/cluster.html#co-regularized-multiview-spectral-clustering">Co-Regularized Multiview Spectral Clustering</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/cluster.html#multiview-k-means">Multiview K Means</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/cluster.html#multiview-spherical-k-means">Multiview Spherical K Means</a></li>
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<li class="toctree-l2"><a class="reference internal" href="references/semi_supervised.html">Semi-Supervised</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/semi_supervised.html#cotraining-classifier">Cotraining Classifier</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/semi_supervised.html#cotraining-regressor">Cotraining Regressor</a></li>
</ul>
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<li class="toctree-l2"><a class="reference internal" href="references/model_selection.html">Model Selection</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/model_selection.html#cross-validation">Cross Validation</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/model_selection.html#train-test-split">Train-Test Split</a></li>
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<li class="toctree-l2"><a class="reference internal" href="references/compose.html">Compose</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/compose.html#averagemerger">AverageMerger</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/compose.html#concatmerger">ConcatMerger</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/compose.html#randomgaussianprojection">RandomGaussianProjection</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/compose.html#randomsubspacemethod">RandomSubspaceMethod</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/compose.html#simplesplitter">SimpleSplitter</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/compose.html#viewclassifier">ViewClassifier</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/compose.html#viewtransformer">ViewTransformer</a></li>
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<li class="toctree-l2"><a class="reference internal" href="references/datasets.html">Multiview Datasets</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/datasets.html#uci-multiple-feature-dataset">UCI multiple feature dataset</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/datasets.html#nutrimouse-dataset">Nutrimouse dataset</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/datasets.html#data-simulator">Data Simulator</a></li>
<li class="toctree-l3"><a class="reference internal" href="references/datasets.html#factor-model">Factor Model</a></li>
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<li class="toctree-l3"><a class="reference internal" href="references/plotting.html#crossviews-plot">Crossviews Plot</a></li>
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<li class="toctree-l2"><a class="reference internal" href="references/utils.html">Utility Functions</a><ul>
<li class="toctree-l3"><a class="reference internal" href="references/utils.html#io">IO</a></li>
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<li class="toctree-l2"><a class="reference internal" href="contributing.html#submitting-a-bug-report-or-a-feature-request">Submitting a bug report or a feature request</a><ul>
<li class="toctree-l3"><a class="reference internal" href="contributing.html#how-to-make-a-good-bug-report">How to make a good bug report</a></li>
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<li class="toctree-l2"><a class="reference internal" href="contributing.html#contributing-code">Contributing Code</a><ul>
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<li class="toctree-l2"><a class="reference internal" href="contributing.html#api-of-mvlearn-objects">API of mvlearn Objects</a><ul>
<li class="toctree-l3"><a class="reference internal" href="contributing.html#estimators">Estimators</a></li>
<li class="toctree-l3"><a class="reference internal" href="contributing.html#additional-functionality">Additional Functionality</a></li>
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<li class="toctree-l1"><a class="reference internal" href="changelog.html">Changelog</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="changelog.html#id5">mvlearn.compose</a></li>
<li class="toctree-l3"><a class="reference internal" href="changelog.html#id13">mvlearn.construct</a></li>
<li class="toctree-l3"><a class="reference internal" href="changelog.html#id15">mvlearn.decomposition</a></li>
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<li class="toctree-l3"><a class="reference internal" href="changelog.html#id24">mvlearn.utils</a></li>
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<li class="toctree-l2"><a class="reference internal" href="changelog.html#version-0-3-0">Version 0.3.0</a></li>
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<p class="caption" role="heading"><span class="caption-text">Useful Links</span></p>
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<li class="toctree-l1"><a class="reference external" href="https://github.com/mvlearn/mvlearn">mvlearn @ GitHub</a></li>
<li class="toctree-l1"><a class="reference external" href="https://pypi.org/project/mvlearn/">mvlearn @ PyPI</a></li>
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