de.lmu.ifi.dbs.elki.algorithm.clustering
Class TrivialAllNoise<O extends DatabaseObject>
java.lang.Object
de.lmu.ifi.dbs.elki.logging.AbstractLoggable
de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<O,Clustering<Model>>
de.lmu.ifi.dbs.elki.algorithm.clustering.TrivialAllNoise<O>
- Type Parameters:
O
-
- All Implemented Interfaces:
- Algorithm<O,Clustering<Model>>, ClusteringAlgorithm<Clustering<Model>,O>, Parameterizable
public class TrivialAllNoise<O extends DatabaseObject>
- extends AbstractAlgorithm<O,Clustering<Model>>
- implements ClusteringAlgorithm<Clustering<Model>,O>
Trivial pseudo-clustering that just considers all points to be noise.
Useful for evaluation and testing.
- Author:
- Erich Schubert
Methods inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable |
addOption, addParameterizable, addParameterizable, checkGlobalParameterConstraints, collectOptions, getAttributeSettings, getParameters, rememberParametersExcept, removeOption, removeParameterizable, shortDescription |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
result
private Clustering<Model> result
- Holds the result of the algorithm.
TrivialAllNoise
public TrivialAllNoise()
getResult
public Clustering<Model> getResult()
- Return clustering result
- Specified by:
getResult
in interface Algorithm<O extends DatabaseObject,Clustering<Model>>
- Specified by:
getResult
in interface ClusteringAlgorithm<Clustering<Model>,O extends DatabaseObject>
- Returns:
- the result of the algorithm
getDescription
public Description getDescription()
- Obtain a description of the algorithm
- Specified by:
getDescription
in interface Algorithm<O extends DatabaseObject,Clustering<Model>>
- Returns:
- a description of the algorithm
runInTime
protected Clustering<Model> runInTime(Database<O> database)
throws IllegalStateException
- Run the actual clustering algorithm.
- Specified by:
runInTime
in class AbstractAlgorithm<O extends DatabaseObject,Clustering<Model>>
- Parameters:
database
- The database to process
- Returns:
- the Result computed by this algorithm
- Throws:
IllegalStateException
- if the algorithm has not been initialized
properly (e.g. the setParameters(String[]) method has been failed
to be called).