Kernel-based machine learning methods for classification,
regression, clustering, novelty detection, quantile regression
and dimensionality reduction.  Among other methods 'kernlab'
includes Support Vector Machines, Spectral Clustering, Kernel
PCA, Gaussian Processes and a QP solver.

Kernel-Based Machine Learning Lab

package-ubuntu-20.04-r-4.0.5#cran#kernlab-0.9-29

<p>A toy data set representing
two spirals with Gaussian noise. The data was created with 
the <code>mlbench.spirals</code> function in <code>mlbench</code>.
</p>

<p>A matrix with 300 observations and 2 variables.
</p>

package-ubuntu-20.04-r-4.0.5#cran#kernlab-0.9-29#docs#spirals

spirals

Description

Usage

Format

Examples

kernlab

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