get_voronoi_feature_PART_dataset: The function to get feature representation in RKHS based on...

In MaxWiK: Machine Learning Method Based on Isolation Kernel Mean Embedding

The function to get feature representation in RKHS based on Voronoi diagram for PART of dataset

Description

get_voronoi_feature_PART_dataset() function returns the feature (mapping) representation in RKHS based on Voronoi diagram for NEW PART of dataset. The Matrix_Voronoi is based on the PREVIOUS dataset. The NEW PART of dataset will appear at the end of PREVIOUS dataset

Usage

get_voronoi_feature_PART_dataset(
  data,
  talkative = FALSE,
  start_row,
  Matrix_Voronoi
)

Arguments

data	Data.frame of new points
talkative	Logical parameter to print or do not print messages
start_row	Row number from which a new data should be added
Matrix_Voronoi	Matrix of Voronoi diagrams based on the PREVIOUS dataset

Value

List of three matrices: Matrix_Voronoi, Matrix_iKernel and dissim

Examples

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MaxWiK documentation built on April 3, 2025, 8:47 p.m.