| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
|
| de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel |
Kernel functions.
|
| Class and Description |
|---|
| KernelMatrix
Provides a class for storing the kernel matrix and several extraction methods
for convenience.
|
| Class and Description |
|---|
| KernelMatrix
Provides a class for storing the kernel matrix and several extraction methods
for convenience.
|
| KernelMatrix.DBIDMap
Map a DBID to its offset
TODO: move to shared code.
|
| LaplaceKernelFunction
Provides the laplace / exponential radial basis function kernel.
|
| LinearKernelFunction
Provides a linear Kernel function that computes a similarity between the two
feature vectors V1 and V2 defined by V1^T*V2.
|
| PolynomialKernelFunction
Provides a polynomial Kernel function that computes a similarity between the
two feature vectors V1 and V2 defined by (V1^T*V2)^degree.
|
| RadialBasisFunctionKernelFunction
Provides the Gaussian radial basis function kernel (RBF Kernel).
|
| RationalQuadraticKernelFunction
Provides the rational quadratic kernel, a less computational approximation of
the Gaussian RBF kerne (
RadialBasisFunctionKernelFunction). |
| SigmoidKernelFunction
Sigmoid kernel function (aka: hyperbolic tangent kernel, multilayer
perceptron MLP kernel).
|