This is documentation for an old release of Scikit-learn (version 1.1). Try the latest stable release (version 1.6) or development (unstable) versions.
Miscellaneous¶
Miscellaneous and introductory examples for scikit-learn.
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Comparing anomaly detection algorithms for outlier detection on toy datasets
Comparing anomaly detection algorithms for outlier detection on toy datasets
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Explicit feature map approximation for RBF kernels
Explicit feature map approximation for RBF kernels

The Johnson-Lindenstrauss bound for embedding with random projections
The Johnson-Lindenstrauss bound for embedding with random projections