General examples¶
Introductory examples.
Robust regression on simulated corrupted dataset
Common-nearest-neighbor clustering demo I
A demo of Robust Classification on Simulated corrupted dataset
A demo of K-Medoids vs CLARA clustering on the handwritten digits data
Cluster¶
Examples concerning the sklearn_extra.kernel_methods.cluster
module.
Common-nearest-neighbor clustering demo II
A demo of K-Medoids clustering on the handwritten digits data
A demo of several clustering algorithms on a corrupted dataset
Eigenpro¶
Examples concerning the sklearn_extra.kernel_methods.eigenpro
module.
Comparison of EigenPro and SVC on Digit Classification
Kernel approximation¶
Examples concerning the sklearn_extra.kernel_methods.kernel_approximation
module.
Recognizing hand-written digits using Fastfood kernel approximation
Explicit feature map approximation for RBF kernels
Robust¶
Examples concerning the sklearn_extra.kernel_methods.robust
module.
A demo of Robust Classification on real dataset “diabetes” from OpenML
A demo of Robust Regression on real dataset “california housing”