| 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
NumberVectors. |
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
NumberVectors. |
class |
WeightedSquaredEuclideanDistanceFunction
Weighted squared Euclidean distance for
NumberVectors. |
Copyright © 2019 ELKI Development Team. License information.