public class ERiCDistanceFunction extends AbstractIndexBasedDistanceFunction<NumberVector<?>,FilteredLocalPCAIndex<NumberVector<?>>,BitDistance> implements FilteredLocalPCABasedDistanceFunction<NumberVector<?>,FilteredLocalPCAIndex<NumberVector<?>>,BitDistance>
| Modifier and Type | Class and Description |
|---|---|
static class |
ERiCDistanceFunction.Instance<V extends NumberVector<?>>
The actual instance bound to a particular database.
|
static class |
ERiCDistanceFunction.Parameterizer
Parameterization class.
|
| Modifier and Type | Field and Description |
|---|---|
private double |
delta
Holds the value of
DELTA_ID. |
static OptionID |
DELTA_ID
Parameter to specify the threshold for approximate linear dependency: the
strong eigenvectors of q are approximately linear dependent from the strong
eigenvectors p if the following condition holds for all strong eigenvectors
q_i of q (lambda_q < lambda_p): q_i' * M^check_p * q_i <= delta^2, must be
a double equal to or greater than 0.
|
private double |
tau
Holds the value of
TAU_ID. |
static OptionID |
TAU_ID
Parameter to specify the threshold for the maximum distance between two
approximately linear dependent subspaces of two objects p and q (lambda_q <
lambda_p) before considering them as parallel, must be a double equal to or
greater than 0.
|
indexFactoryINDEX_ID| Constructor and Description |
|---|
ERiCDistanceFunction(IndexFactory<NumberVector<?>,FilteredLocalPCAIndex<NumberVector<?>>> indexFactory,
double delta,
double tau)
Constructor.
|
| Modifier and Type | Method and Description |
|---|---|
private boolean |
approximatelyLinearDependent(PCAFilteredResult pca1,
PCAFilteredResult pca2)
Returns true, if the strong eigenvectors of the two specified pcas span up
the same space.
|
BitDistance |
distance(NumberVector<?> v1,
NumberVector<?> v2,
PCAFilteredResult pca1,
PCAFilteredResult pca2)
Computes the distance between two given DatabaseObjects according to this
distance function.
|
boolean |
equals(Object obj) |
BitDistance |
getDistanceFactory()
Method to get the distance functions factory.
|
<T extends NumberVector<?>> |
instantiate(Relation<T> database)
Instantiate with a database to get the actual distance query.
|
getInputTypeRestriction, isMetric, isSymmetricclone, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitgetInputTypeRestriction, isMetric, isSymmetricpublic static final OptionID DELTA_ID
Default value: 0.1
Key: -ericdf.delta
public static final OptionID TAU_ID
Default value: 0.1
Key: -ericdf.tau
private double delta
DELTA_ID.private double tau
TAU_ID.public ERiCDistanceFunction(IndexFactory<NumberVector<?>,FilteredLocalPCAIndex<NumberVector<?>>> indexFactory, double delta, double tau)
indexFactory - Index factory.delta - Delta parametertau - Tau parameterpublic BitDistance getDistanceFactory()
DistanceFunctiongetDistanceFactory in interface DistanceFunction<NumberVector<?>,BitDistance>getDistanceFactory in class AbstractDatabaseDistanceFunction<NumberVector<?>,BitDistance>public <T extends NumberVector<?>> ERiCDistanceFunction.Instance<T> instantiate(Relation<T> database)
FilteredLocalPCABasedDistanceFunctioninstantiate in interface DistanceFunction<NumberVector<?>,BitDistance>instantiate in interface FilteredLocalPCABasedDistanceFunction<NumberVector<?>,FilteredLocalPCAIndex<NumberVector<?>>,BitDistance>database - The representation to useprivate boolean approximatelyLinearDependent(PCAFilteredResult pca1, PCAFilteredResult pca2)
pca1 - first PCApca2 - second PCApublic BitDistance distance(NumberVector<?> v1, NumberVector<?> v2, PCAFilteredResult pca1, PCAFilteredResult pca2)
v1 - first DatabaseObjectv2 - second DatabaseObjectpca1 - first PCApca2 - second PCA