Package | Description |
---|---|
de.lmu.ifi.dbs.elki.distance.distancefunction |
Distance functions for use within ELKI.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation |
Distance functions using correlations
|
de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski |
Minkowski space Lp norms such as the popular Euclidean and
Manhattan distances.
|
Modifier and Type | Class and Description |
---|---|
class |
WeightedCanberraDistanceFunction
Weighted Canberra distance function, a variation of Manhattan distance.
|
Modifier and Type | Class and Description |
---|---|
class |
WeightedPearsonCorrelationDistanceFunction
Pearson correlation distance function for feature vectors.
|
class |
WeightedSquaredPearsonCorrelationDistanceFunction
Weighted squared Pearson correlation distance function for feature vectors.
|
Modifier and Type | Class and Description |
---|---|
class |
WeightedEuclideanDistanceFunction
Weighted Euclidean distance for
NumberVector s. |
class |
WeightedLPNormDistanceFunction
Weighted version of the Minkowski Lp norm distance for
NumberVector . |
class |
WeightedManhattanDistanceFunction
Weighted version of the Manhattan (L1) metric.
|
class |
WeightedMaximumDistanceFunction
Weighted version of the maximum distance function for
NumberVector s. |
class |
WeightedSquaredEuclideanDistanceFunction
Weighted squared Euclidean distance for
NumberVector s. |
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