Classification#
Module with classes to perform classification of functional data.
Nearest Neighbors#
This module contains nearest neighbors estimators to perform classification. In the examples K-nearest neighbors classification and Radius neighbors classification it is explained the basic usage of these estimators.
Classifier implementing the k-nearest neighbors vote. |
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Classifier implementing a vote among neighbors within a given radius. |
Nearest Centroid#
This module contains nearest centroid estimators to perform classification.
Nearest centroid classifier for functional data. |
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Distance to trimmed means (DTM) classification. |
Depth#
This module contains depth based estimators to perform classification.
Maximum depth classifier for functional data. |
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Depth-versus-depth (DD) classifer for functional data. |
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Generalized depth-versus-depth (DD) classifier for functional data. |
Logistic regression#
Classifier based on logistic regression.
Logistic Regression classifier for functional data. |
Functional quadratic discriminant analysis#
Classifier based on the quadratic discriminant analysis.
Functional quadratic discriminant analysis. |