iKernel: Function returns the value of similarity or Isolation KERNEL...
In MaxWiK: Machine Learning Method Based on Isolation Kernel Mean Embedding

iKernel

R Documentation

Function returns the value of similarity or Isolation KERNEL for TWO points

Description

iKernel() function returns value of similarity or Isolation KERNEL for TWO points that is number in the range [0,1]

iKernel_point_dataset() function returns vector of values of similarity based on Isolation Kernel between a new point and all the points of dataset

get_weights_iKernel() function returns list of two objects: the first object is numeric vector of weights for RKHS space, and the second object is numeric vector of weights of similarity for iFeature_point corresponding observation point

GRAM_iKernel() is the function to calculate Gram matrix for Isolation Kernel method based on Voronoi diagrams

Usage

iKernel(Matrix_iKernel, pnt_1, pnt_2, t)

iKernel_point_dataset(Matrix_iKernel, t, nr, iFeature_point)

get_weights_iKernel(GI, Matrix_iKernel, t, nr, iFeature_point)

GRAM_iKernel(Matrix_iKernel, check_pos_def = FALSE)

Arguments

`Matrix_iKernel`	Matrix of indexes of Voronoi cells for each point and each tree based on Isolation Kernel calculation
`pnt_1`	The first point of dataset
`pnt_2`	The second point of dataset
`t`	is a number of columns of Matrix_iKernel or dimension of Matrix_iKernel (corresponding to the number of trees t)
`nr`	is number of rows in Matrix_iKernel or size of dataset
`iFeature_point`	Feature mapping in RKHS for a new point, that can be gotten via `add_new_point_iKernel()` function
`GI`	The inverse Gram matrix
`check_pos_def`	Logical parameter to check the Gram matrix is positive definite or do not check

Value

The function iKernel() returns a value of similarity or Isolation KERNEL for TWO points

The function iKernel_point_dataset() returns a value of Isolation Kernel between a new point and dataset represented via Matrix_iKernel

The function get_weights_iKernel() returns the list of weights for RKHS space and weights of similarity for iFeature_point

The function GRAM_iKernel() returns Gram matrix of Isolation Kernel

Functions

iKernel_point_dataset(): The function to get Isolation Kernel between a new point and dataset
get_weights_iKernel(): The function to get weights from Feature mapping
GRAM_iKernel(): The function to calculate Gram matrix for Isolation Kernel method