get_kernel_mean_embedding {MaxWiK} | R Documentation |
The function to calculate Maxima weighted kernel mean mapping for Isolation Kernel in RKHS related to parameters space
Description
The function to calculate Maxima weighted kernel mean mapping for Isolation Kernel in RKHS related to parameters space
Usage
get_kernel_mean_embedding(parameters_Matrix_iKernel, Hilbert_weights)
Arguments
parameters_Matrix_iKernel |
Matrix of all the points represented in RKHS related to parameters space |
Hilbert_weights |
Maximal weights in RKHS to get related part of kernel mean embedding from parameters_Matrix_iKernel |
Value
Maxima weighted kernel mean mapping in the form of integer vector with length t (number of trees). Each element of the vector is index of Voronoi cell with maximal weight in the Voronoi diagram
Examples
NULL
[Package MaxWiK version 1.0.5 Index]