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RKUM (version 0.1.1.1)

Robust Kernel Unsupervised Methods

Description

Robust kernel center matrix, robust kernel cross-covariance operator for kernel unsupervised methods, kernel canonical correlation analysis, influence function of identifying significant outliers or atypical objects from multimodal datasets. Alam, M. A, Fukumizu, K., Wang Y.-P. (2018) . Alam, M. A, Calhoun, C. D., Wang Y.-P. (2018) .

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Version

Install

install.packages('RKUM')

Monthly Downloads

142

Version

0.1.1.1

License

GPL-3

Maintainer

Md Alam

Last Published

June 22nd, 2022

Functions in RKUM (0.1.1.1)

A helper function

A helper function

Bandwidth of the Gaussian kernel

Robust kernel canonical correlation analysis

Robust kernel cross-covariance opetator

A helper fuction

Influence Funciton of Canonical Correlation Analysis

Kernel Matrix Using Identity-by-state Kernel

Robsut Kernel Center Matrix

Influence Function of Multiple Kernel Canonical Analysis

Hampel's psi function

A Hampel loss function

Influence Function of Robust Kernel Canonical Analysis

Kernel Matrix Using Linear Kernel

A helper function

A helper function

An example of imaging genetics and epi-genetics data to calcualte influential observations from three view data

An example of imaging genetics data to calcualte influential observations from two view data

A Huber loss function

Objective function

Huber's psi function

A helper function

Objective function

A helper function

A helper function

Kernel Matrix Using Guasian Kernel

A helper function