kernlab

Assing kernelMatrix class to matrix objects

Probabilities Coupling function

Cholesky decomposition with Side Information

Class "csi"

Kernel Functions

Gaussian processes for regression and classification

Class "gausspr"

Incomplete Cholesky decomposition

Class "inchol"

Income Data

Onlearn object initialization

Quadratic Programming Solver

Class "ipop"

Kernel Canonical Correlation Analysis

Class "kcca"

Class "kernel" "rbfkernel" "polykernel", "tanhkernel", "vanillakernel"

Kernel Matrix functions

Kernel Feature Analysis

Class "kfa"

Kernel Principal Components Analysis

Class "kha"

Kernel k-means

Kernel Maximum Mean Discrepancy.

Class "kqr"

Kernel Principal Components Analysis

Class "kpca"

Kernel Quantile Regression.

Class "kqr"

Support Vector Machines

Class "ksvm"

Least Squares Support Vector Machine

Class "lssvm"

Musk data set

Kernel Online Learning algorithms

Class "onlearn"

plot method for support vector object

Class "prc"

predict method for Gaussian Processes object

Predict method for kernel Quantile Regression object

predict method for support vector object

E. coli promoter gene sequences (DNA)

Ranking

Class "ranking"

Reuters Text Data

Relevance Vector Machine

Class "rvm"

Hyperparameter estimation for the Gaussian Radial Basis kernel

Spam E-mail Database

Spectral Clustering

Class "specc"

Spirals Dataset

String Kernel Functions

The Insurance Company Data

Class "vm"