@Title(value="Trivial all-noise clustering") @Description(value="Returns a \'trivial\' clustering which just considers all points as noise points.") public class TrivialAllNoise extends AbstractAlgorithm<Clustering<Model>> implements ClusteringAlgorithm<Clustering<Model>>
| Modifier and Type | Field and Description |
|---|---|
private static Logging |
LOG
The logger for this class.
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| Constructor and Description |
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TrivialAllNoise()
Constructor, adhering to
Parameterizable |
| Modifier and Type | Method and Description |
|---|---|
TypeInformation[] |
getInputTypeRestriction()
Get the input type restriction used for negotiating the data query.
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protected Logging |
getLogger()
Get the (STATIC) logger for this class.
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Clustering<Model> |
run(Relation<?> relation) |
makeParameterDistanceFunction, runclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitrunprivate static final Logging LOG
public TrivialAllNoise()
Parameterizablepublic Clustering<Model> run(Relation<?> relation)
public TypeInformation[] getInputTypeRestriction()
AbstractAlgorithmgetInputTypeRestriction in interface AlgorithmgetInputTypeRestriction in class AbstractAlgorithm<Clustering<Model>>protected Logging getLogger()
AbstractAlgorithmgetLogger in class AbstractAlgorithm<Clustering<Model>>