| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.outlier.anglebased | 
 Angle-based outlier detection algorithms. 
 | 
| de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel | 
 Kernel functions. 
 | 
| Class and Description | 
|---|
| KernelMatrix
 Kernel matrix representation. 
 | 
| Class and Description | 
|---|
| KernelMatrix
 Kernel matrix representation. 
 | 
| KernelMatrix.DBIDMap
 Map a DBID to its offset
 
 TODO: move to shared code. 
 | 
| LaplaceKernelFunction
 Laplace / exponential radial basis function kernel. 
 | 
| LinearKernelFunction
 Linear Kernel function that computes a similarity between the two feature
 vectors V1 and V2 defined by V1^T*V2. 
 | 
| PolynomialKernelFunction
 Polynomial Kernel function that computes a similarity between the two feature
 vectors V1 and V2 defined by (V1^T*V2)^degree. 
 | 
| RadialBasisFunctionKernelFunction
 Gaussian radial basis function kernel (RBF Kernel). 
 | 
| RationalQuadraticKernelFunction
 Rational quadratic kernel, a less computational approximation of the Gaussian
 RBF kernel ( 
RadialBasisFunctionKernelFunction). | 
| SigmoidKernelFunction
 Sigmoid kernel function (aka: hyperbolic tangent kernel, multilayer
 perceptron MLP kernel). 
 | 
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.