.. _sphx_glr_auto_examples_ml:

Machine learning
----------------

Examples the machine learning methods (clustering, classification and regression) for functional data that can be used in scikit-fda.



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    <div class="sphx-glr-thumbcontainer" tooltip="It shows a comparison between the accuracies of different classification methods. There has been selected one method of each kind present in the library. In particular, there is one based on depths, Maximum Depth Classifier, another one based on centroids, Nearest Centroid Classifier, another one based on the K-Nearest Neighbors, K-Nearest Neighbors Classifier, and finally, one based on the quadratic discriminant analysis, Parameterized Functional QDA.">

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  .. image:: /auto_examples/ml/images/thumb/sphx_glr_plot_classification_methods_thumb.png
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  :ref:`sphx_glr_auto_examples_ml_plot_classification_methods.py`

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      <div class="sphx-glr-thumbnail-title">Classification methods</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="In this example, the use of the clustering plot methods is shown applied to the Canadian Weather dataset. K-Means and Fuzzy K-Means algorithms are employed to calculate the results plotted.">

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  .. image:: /auto_examples/ml/images/thumb/sphx_glr_plot_clustering_thumb.png
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  :ref:`sphx_glr_auto_examples_ml_plot_clustering.py`

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      <div class="sphx-glr-thumbnail-title">Clustering</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows the use of the depth based classification methods applied to the Berkeley Growth Study data. An attempt to show the differences and similarities between MaximumDepthClassifier, DDClassifier, and DDGClassifier is made.">

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  .. image:: /auto_examples/ml/images/thumb/sphx_glr_plot_depth_classification_thumb.png
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  :ref:`sphx_glr_auto_examples_ml_plot_depth_classification.py`

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      <div class="sphx-glr-thumbnail-title">Depth based classification</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example explores the use of the linear regression with multivariate (scalar) covariates and functional response.">

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  .. image:: /auto_examples/ml/images/thumb/sphx_glr_plot_functional_regression_thumb.png
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  :ref:`sphx_glr_auto_examples_ml_plot_functional_regression.py`

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      <div class="sphx-glr-thumbnail-title">Functional Linear Regression with multivariate covariates.</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example explores the use of the functional principal component analysis (FPCA) in regression problems.">

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  .. image:: /auto_examples/ml/images/thumb/sphx_glr_plot_fpca_regression_thumb.png
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  :ref:`sphx_glr_auto_examples_ml_plot_fpca_regression.py`

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      <div class="sphx-glr-thumbnail-title">Functional Principal Component Analysis Regression.</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Shows the usage of the k-nearest neighbors classifier.">

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  .. image:: /auto_examples/ml/images/thumb/sphx_glr_plot_k_neighbors_classification_thumb.png
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  :ref:`sphx_glr_auto_examples_ml_plot_k_neighbors_classification.py`

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      <div class="sphx-glr-thumbnail-title">K-nearest neighbors classification</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="In this example we will see and compare the performance of different kernel regression methods.">

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  .. image:: /auto_examples/ml/images/thumb/sphx_glr_plot_kernel_regression_thumb.png
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  :ref:`sphx_glr_auto_examples_ml_plot_kernel_regression.py`

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      <div class="sphx-glr-thumbnail-title">Kernel Regression</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Shows the usage of the nearest neighbors regressor with functional response.">

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  .. image:: /auto_examples/ml/images/thumb/sphx_glr_plot_neighbors_functional_regression_thumb.png
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  :ref:`sphx_glr_auto_examples_ml_plot_neighbors_functional_regression.py`

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      <div class="sphx-glr-thumbnail-title">Neighbors Functional Regression</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Shows the usage of the nearest neighbors regressor with scalar response.">

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  .. image:: /auto_examples/ml/images/thumb/sphx_glr_plot_neighbors_scalar_regression_thumb.png
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  :ref:`sphx_glr_auto_examples_ml_plot_neighbors_scalar_regression.py`

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      <div class="sphx-glr-thumbnail-title">Neighbors Scalar Regression</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Shows the usage of the radius nearest neighbors classifier.">

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  .. image:: /auto_examples/ml/images/thumb/sphx_glr_plot_radius_neighbors_classification_thumb.png
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  :ref:`sphx_glr_auto_examples_ml_plot_radius_neighbors_classification.py`

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      <div class="sphx-glr-thumbnail-title">Radius neighbors classification</div>
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.. toctree::
   :hidden:

   /auto_examples/ml/plot_classification_methods
   /auto_examples/ml/plot_clustering
   /auto_examples/ml/plot_depth_classification
   /auto_examples/ml/plot_functional_regression
   /auto_examples/ml/plot_fpca_regression
   /auto_examples/ml/plot_k_neighbors_classification
   /auto_examples/ml/plot_kernel_regression
   /auto_examples/ml/plot_neighbors_functional_regression
   /auto_examples/ml/plot_neighbors_scalar_regression
   /auto_examples/ml/plot_radius_neighbors_classification