Package | Description |
---|---|
weka.clusterers | |
weka.clusterers.forOPTICSAndDBScan.Databases | |
weka.clusterers.forOPTICSAndDBScan.DataObjects | |
weka.clusterers.forOPTICSAndDBScan.Utils |
Modifier and Type | Method and Description |
---|---|
DataObject |
DBSCAN.dataObjectForName(String database_distanceType,
Instance instance,
String key,
Database database)
Returns a new Class-Instance of the specified database
|
DataObject |
OPTICS.dataObjectForName(String database_distanceType,
Instance instance,
String key,
Database database)
Returns a new Class-Instance of the specified database
|
Modifier and Type | Method and Description |
---|---|
DataObject |
SequentialDatabase.getDataObject(String key)
Select a dataObject from the database
|
DataObject |
Database.getDataObject(String key)
Select a dataObject from the database
|
Modifier and Type | Method and Description |
---|---|
boolean |
SequentialDatabase.contains(DataObject dataObject_Query)
Tests if the database contains the dataObject_Query
|
boolean |
Database.contains(DataObject dataObject_Query)
Tests if the database contains the dataObject_Query
|
List |
SequentialDatabase.coreDistance(int minPoints,
double epsilon,
DataObject dataObject)
Calculates the coreDistance for the specified DataObject.
|
List |
Database.coreDistance(int minPoints,
double epsilon,
DataObject dataObject)
Calculates the coreDistance for the specified DataObject.
|
List |
SequentialDatabase.epsilonRangeQuery(double epsilon,
DataObject queryDataObject)
Performs an epsilon range query for this dataObject
|
List |
Database.epsilonRangeQuery(double epsilon,
DataObject queryDataObject)
Performs an epsilon range query for this dataObject
|
void |
SequentialDatabase.insert(DataObject dataObject)
Inserts a new dataObject into the database
|
void |
Database.insert(DataObject dataObject)
Inserts a new dataObject into the database
|
List |
SequentialDatabase.k_nextNeighbourQuery(int k,
double epsilon,
DataObject dataObject)
Emits the k next-neighbours and performs an epsilon-range-query at the parallel.
|
List |
Database.k_nextNeighbourQuery(int k,
double epsilon,
DataObject dataObject)
Emits the k next-neighbours and performs an epsilon-range-query at the parallel.
|
Modifier and Type | Class and Description |
---|---|
class |
EuclideanDataObject
EuclideanDataObject.java
Authors: Rainer Holzmann, Zhanna Melnikova-Albrecht, Matthias Schubert Date: Aug 19, 2004 Time: 5:50:22 PM $ Revision 1.4 $ |
class |
ManhattanDataObject
ManhattanDataObject.java
Authors: Rainer Holzmann, Zhanna Melnikova-Albrecht, Matthias Schubert Date: Aug 19, 2004 Time: 5:50:22 PM $ Revision 1.4 $ |
Modifier and Type | Method and Description |
---|---|
double |
DataObject.distance(DataObject dataObject)
Calculates the distance between dataObject and this.dataObject
|
double |
ManhattanDataObject.distance(DataObject dataObject)
Calculates the manhattan-distance between dataObject and this.dataObject
|
double |
EuclideanDataObject.distance(DataObject dataObject)
Calculates the euclidian-distance between dataObject and this.dataObject
|
boolean |
DataObject.equals(DataObject dataObject)
Compares two DataObjects in respect to their attribute-values
|
boolean |
ManhattanDataObject.equals(DataObject dataObject)
Compares two DataObjects in respect to their attribute-values
|
boolean |
EuclideanDataObject.equals(DataObject dataObject)
Compares two DataObjects in respect to their attribute-values
|
Modifier and Type | Method and Description |
---|---|
DataObject |
EpsilonRange_ListElement.getDataObject()
Returns this dataObject
|
Constructor and Description |
---|
EpsilonRange_ListElement(double distance,
DataObject dataObject)
Constructs a new Element that is stored in the ArrayList which is
built in the k_nextNeighbourQuery-method from a specified database.
|
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