:orphan: Examples ======== Examples of several functionalities of the package. .. raw:: html
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_boxplot_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_boxplot.py` .. raw:: html
Boxplot
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_classification_methods_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_classification_methods.py` .. raw:: html
Classification methods
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_clustering_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_clustering.py` .. raw:: html
Clustering
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_depth_classification_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_depth_classification.py` .. raw:: html
Depth based classification
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_discrete_representation_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_discrete_representation.py` .. raw:: html
Discretized function representation
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_elastic_registration_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_elastic_registration.py` .. raw:: html
Elastic registration
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_explore_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_explore.py` .. raw:: html
Exploring data
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_extrapolation_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_extrapolation.py` .. raw:: html
Extrapolation
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_composition_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_composition.py` .. raw:: html
Function composition
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_functional_regression_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_functional_regression.py` .. raw:: html
Functional Linear Regression with multivariate covariates.
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_fpca_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_fpca.py` .. raw:: html
Functional Principal Component Analysis
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_fpca_regression_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_fpca_regression.py` .. raw:: html
Functional Principal Component Analysis Regression.
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_interpolation_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_interpolation.py` .. raw:: html
Interpolation
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_k_neighbors_classification_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_k_neighbors_classification.py` .. raw:: html
K-nearest neighbors classification
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_kernel_regression_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_kernel_regression.py` .. raw:: html
Kernel Regression
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_kernel_smoothing_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_kernel_smoothing.py` .. raw:: html
Kernel Smoothing
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_landmark_registration_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_landmark_registration.py` .. raw:: html
Landmark registration
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_landmark_shift_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_landmark_shift.py` .. raw:: html
Landmark shift
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_magnitude_shape_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_magnitude_shape.py` .. raw:: html
Magnitude-Shape Plot
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_magnitude_shape_synthetic_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_magnitude_shape_synthetic.py` .. raw:: html
Magnitude-Shape Plot synthetic example
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_aemet_unsupervised_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_aemet_unsupervised.py` .. raw:: html
Meteorological data: data visualization, clustering, and functional PCA
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_neighbors_functional_regression_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_neighbors_functional_regression.py` .. raw:: html
Neighbors Functional Regression
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_neighbors_scalar_regression_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_neighbors_scalar_regression.py` .. raw:: html
Neighbors Scalar Regression
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_oneway_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_oneway.py` .. raw:: html
One-way functional ANOVA with real data
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_oneway_synthetic_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_oneway_synthetic.py` .. raw:: html
One-way functional ANOVA with synthetic data
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_fpca_inverse_transform_outl_detection_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_fpca_inverse_transform_outl_detection.py` .. raw:: html
Outlier detection with FPCA
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_pairwise_alignment_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_pairwise_alignment.py` .. raw:: html
Pairwise alignment
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_radius_neighbors_classification_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_radius_neighbors_classification.py` .. raw:: html
Radius neighbors classification
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_representation_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_representation.py` .. raw:: html
Representation of functional data
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_shift_registration_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_shift_registration.py` .. raw:: html
Shift Registration
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_tecator_regression_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_tecator_regression.py` .. raw:: html
Spectrometric data: derivatives, regression, and variable selection
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_surface_boxplot_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_surface_boxplot.py` .. raw:: html
Surface Boxplot
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.. only:: html .. image:: /auto_examples/images/thumb/sphx_glr_plot_phonemes_classification_thumb.png :alt: :ref:`sphx_glr_auto_examples_plot_phonemes_classification.py` .. raw:: html
Voice signals: smoothing, registration, and classification
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.. toctree:: :hidden: /auto_examples/plot_boxplot /auto_examples/plot_classification_methods /auto_examples/plot_clustering /auto_examples/plot_depth_classification /auto_examples/plot_discrete_representation /auto_examples/plot_elastic_registration /auto_examples/plot_explore /auto_examples/plot_extrapolation /auto_examples/plot_composition /auto_examples/plot_functional_regression /auto_examples/plot_fpca /auto_examples/plot_fpca_regression /auto_examples/plot_interpolation /auto_examples/plot_k_neighbors_classification /auto_examples/plot_kernel_regression /auto_examples/plot_kernel_smoothing /auto_examples/plot_landmark_registration /auto_examples/plot_landmark_shift /auto_examples/plot_magnitude_shape /auto_examples/plot_magnitude_shape_synthetic /auto_examples/plot_aemet_unsupervised /auto_examples/plot_neighbors_functional_regression /auto_examples/plot_neighbors_scalar_regression /auto_examples/plot_oneway /auto_examples/plot_oneway_synthetic /auto_examples/plot_fpca_inverse_transform_outl_detection /auto_examples/plot_pairwise_alignment /auto_examples/plot_radius_neighbors_classification /auto_examples/plot_representation /auto_examples/plot_shift_registration /auto_examples/plot_tecator_regression /auto_examples/plot_surface_boxplot /auto_examples/plot_phonemes_classification Expand scikit-fda ================= Examples of how to expand the functionality of scikit-fda with custom behaviors. .. raw:: html
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.. only:: html .. image:: /auto_examples/expand_skfda/images/thumb/sphx_glr_plot_basis_subclass_thumb.png :alt: :ref:`sphx_glr_auto_examples_expand_skfda_plot_basis_subclass.py` .. raw:: html
Creating a new basis
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.. only:: html .. image:: /auto_examples/expand_skfda/images/thumb/sphx_glr_plot_new_evaluator_thumb.png :alt: :ref:`sphx_glr_auto_examples_expand_skfda_plot_new_evaluator.py` .. raw:: html
Creating a new interpolation or extrapolation strategy
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.. toctree:: :hidden: :includehidden: /auto_examples/expand_skfda/index.rst .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-gallery .. container:: sphx-glr-download sphx-glr-download-python :download:`Download all examples in Python source code: auto_examples_python.zip ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_