Kernel k Nearest Neighbors in R
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Updated
Jan 7, 2023 - R
Kernel k Nearest Neighbors in R
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
Dimensionality Reduction via Regression using Kernel Ridge Regression in R
R package for KLIC: Kernel Learning Integrative Clustering
Classic Machine Learning in R
A mathematical analysis and implementation of kernel PCA 🤖
Solves kernel ridge regression within the the mixed model framework. All the estimated components and parameters, e.g. BLUP of dual variables and BLUP of random predictor effects for the linear kernel (also known as RR-BLUP), are available.
Code for the Paper "Evaluating Independence and Conditional Independence Measures"
Machine learning educational projects.
This function fit a Multi-class Kernel Logistic Regression model to the data. The return list contains the estimated kernel weights as well as the original data to perform predictions.There are two types of kernel, they are 'RBF' and 'polynomial'.
We compared the predictive accuracy and sparsity of support vector machines and relevance vector machines for a range of synthetic data sets differing in signal-to-noise ratio and other measures of difficulty.
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