| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.distance.similarityfunction |
Similarity functions.
|
| de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel |
Kernel functions.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractDBIDSimilarityFunction<D extends Distance<D>>
Abstract super class for distance functions needing a preprocessor.
|
class |
AbstractVectorDoubleSimilarityFunction
Abstract base class for double-valued primitive similarity functions.
|
class |
InvertedDistanceSimilarityFunction<O>
Adapter to use a primitive number-distance as similarity measure, by computing
1/distance.
|
class |
JaccardPrimitiveSimilarityFunction<O extends FeatureVector<?>>
A flexible extension of Jaccard similarity to non-binary vectors.
|
class |
Kulczynski1SimilarityFunction
Kulczynski similarity 1.
|
class |
Kulczynski2SimilarityFunction
Kulczynski similarity 2.
|
| Modifier and Type | Class and Description |
|---|---|
class |
LaplaceKernelFunction
Provides the laplace / exponential radial basis function kernel.
|
class |
LinearKernelFunction
Provides a linear Kernel function that computes a similarity between the two
feature vectors V1 and V2 defined by V1^T*V2.
|
class |
PolynomialKernelFunction
Provides a polynomial Kernel function that computes a similarity between the
two feature vectors V1 and V2 defined by (V1^T*V2)^degree.
|
class |
RadialBasisFunctionKernelFunction
Provides the Gaussian radial basis function kernel (RBF Kernel).
|
class |
RationalQuadraticKernelFunction
Provides the rational quadratic kernel, a less computational approximation of
the Gaussian RBF kerne (
RadialBasisFunctionKernelFunction). |
class |
SigmoidKernelFunction
Sigmoid kernel function (aka: hyperbolic tangent kernel, multilayer
perceptron MLP kernel).
|