| 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  | 
InvertedDistanceSimilarityFunction<O>
Adapter to use a primitive number-distance as similarity measure, by computing
 1/distance. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
LinearKernelFunction<O extends NumberVector<?,?>>
Provides a linear Kernel function that computes a similarity between the two
 feature vectors V1 and V2 defined by V1^T*V2. 
 |