Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms
Clustering algorithms are supposed to implement the
Algorithm -Interface. |
de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
|
de.lmu.ifi.dbs.elki.distance.similarityfunction |
Similarity functions.
|
Modifier and Type | Field and Description |
---|---|
private SharedNearestNeighborSimilarityFunction<O> |
SNNClustering.similarityFunction
The similarity function for the shared nearest neighbor similarity.
|
private SharedNearestNeighborSimilarityFunction<O> |
SNNClustering.Parameterizer.similarityFunction |
Constructor and Description |
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SNNClustering(SharedNearestNeighborSimilarityFunction<O> similarityFunction,
IntegerDistance epsilon,
int minpts)
Constructor.
|
Modifier and Type | Field and Description |
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private SharedNearestNeighborSimilarityFunction<V> |
SOD.similarityFunction
The similarity function.
|
private SharedNearestNeighborSimilarityFunction<V> |
SOD.Parameterizer.similarityFunction
The similarity function.
|
Constructor and Description |
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SOD(int knn,
double alpha,
SharedNearestNeighborSimilarityFunction<V> similarityFunction)
Constructor with parameters.
|
Modifier and Type | Method and Description |
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protected SharedNearestNeighborSimilarityFunction<O> |
SharedNearestNeighborSimilarityFunction.Parameterizer.makeInstance() |