Package | Description |
---|---|
de.lmu.ifi.dbs.elki.distance.distancefunction |
Distance functions for use within ELKI.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram |
Distance functions using correlations.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation |
Distance functions using correlations.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.geo |
Geographic (earth) distance functions.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries |
Distance functions designed for time series.
|
tutorial.distancefunction |
Classes from the tutorial on implementing distance functions.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractVectorDoubleDistanceNorm
Abstract base class for double-valued number-vector-based distances based on
norms.
|
class |
ArcCosineDistanceFunction
Cosine distance function for feature vectors.
|
class |
CanberraDistanceFunction
Canberra distance function, a variation of Manhattan distance.
|
class |
CosineDistanceFunction
Cosine distance function for feature vectors.
|
class |
EuclideanDistanceFunction
Provides the Euclidean distance for FeatureVectors.
|
class |
JeffreyDivergenceDistanceFunction
Provides the Jeffrey Divergence Distance for FeatureVectors.
|
class |
LPNormDistanceFunction
Provides a LP-Norm for FeatureVectors.
|
class |
ManhattanDistanceFunction
Manhattan distance function to compute the Manhattan distance for a pair of
FeatureVectors.
|
class |
MaximumDistanceFunction
Maximum distance function to compute the Maximum distance for a pair of
FeatureVectors.
|
class |
MinimumDistanceFunction
Maximum distance function to compute the Minimum distance for a pair of
FeatureVectors.
|
class |
SquaredEuclideanDistanceFunction
Provides the squared Euclidean distance for FeatureVectors.
|
class |
WeightedDistanceFunction
Provides the Weighted distance for feature vectors.
|
class |
WeightedLPNormDistanceFunction
Weighted version of the Euclidean distance function.
|
class |
WeightedSquaredEuclideanDistanceFunction
Provides the squared Euclidean distance for FeatureVectors.
|
Modifier and Type | Class and Description |
---|---|
class |
HistogramIntersectionDistanceFunction
Intersection distance for color histograms.
|
class |
HSBHistogramQuadraticDistanceFunction
Distance function for HSB color histograms based on a quadratic form and
color similarity.
|
class |
RGBHistogramQuadraticDistanceFunction
Distance function for RGB color histograms based on a quadratic form and
color similarity.
|
Modifier and Type | Class and Description |
---|---|
class |
PearsonCorrelationDistanceFunction
Pearson correlation distance function for feature vectors.
|
class |
SquaredPearsonCorrelationDistanceFunction
Squared Pearson correlation distance function for feature vectors.
|
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 |
DimensionSelectingLatLngDistanceFunction
Distance function for 2D vectors in Latitude, Longitude form.
|
class |
LatLngDistanceFunction
Distance function for 2D vectors in Latitude, Longitude form.
|
class |
LngLatDistanceFunction
Distance function for 2D vectors in Longitude, Latitude form.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractEditDistanceFunction
Provides the Edit Distance for FeatureVectors.
|
class |
DTWDistanceFunction
Provides the Dynamic Time Warping distance for FeatureVectors.
|
class |
EDRDistanceFunction
Provides the Edit Distance on Real Sequence distance for FeatureVectors.
|
class |
ERPDistanceFunction
Provides the Edit Distance With Real Penalty distance for FeatureVectors.
|
class |
LCSSDistanceFunction
Provides the Longest Common Subsequence distance for FeatureVectors.
|
Modifier and Type | Class and Description |
---|---|
class |
MultiLPNorm
Tutorial example for ELKI.
|
class |
TutorialDistanceFunction
Tutorial example for ELKI.
|