| 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 L_p 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
Squared Pearson correlation distance function for feature vectors.
|
| Modifier and Type | Class and Description |
|---|---|
class |
WeightedEuclideanDistanceFunction
Weighted Euclidean distance for
NumberVectors. |
class |
WeightedLPNormDistanceFunction
Weighted version of the Minkowski L_p norm distance for
NumberVector. |
class |
WeightedManhattanDistanceFunction
Weighted version of the Minkowski L_p metrics distance function for
NumberVectors. |
class |
WeightedMaximumDistanceFunction
Weighted version of the Minkowski L_p metrics distance function for
NumberVectors. |
class |
WeightedSquaredEuclideanDistanceFunction
Squared Euclidean distance for
NumberVectors. |
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.