get_kernel_mean_embedding: The function to calculate Maxima weighted kernel mean mapping...
In MaxWiK: Machine Learning Method Based on Isolation Kernel Mean Embedding
get_kernel_mean_embedding 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
MaxWiK documentation built on April 3, 2025, 8:47 p.m.
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| get_kernel_mean_embedding | 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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