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java.lang.Object de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<R> de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN<Clustering<Model>,V> de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.FourC<V>
V
- type of NumberVector handled by this Algorithm@Title(value="4C: Computing Correlation Connected Clusters") @Description(value="4C identifies local subgroups of data objects sharing a uniform correlation. The algorithm is based on a combination of PCA and density-based clustering (DBSCAN).") @Reference(authors="C. B\u00f6hm, K. Kailing, P. Kr\u00f6ger, A. Zimek", title="Computing Clusters of Correlation Connected Objects", booktitle="Proc. ACM SIGMOD Int. Conf. on Management of Data, Paris, France, 2004, 455-466", url="http://dx.doi.org/10.1145/1007568.1007620") public class FourC<V extends NumberVector<V,?>>
4C identifies local subgroups of data objects sharing a uniform correlation. The algorithm is based on a combination of PCA and density-based clustering (DBSCAN).
Reference: Christian Böhm, Karin Kailing, Peer Kröger, Arthur Zimek:
Computing Clusters of Correlation Connected Objects.
In Proc. ACM SIGMOD Int. Conf. on Management of Data, Paris, France, 2004.
Nested Class Summary | |
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static class |
FourC.Parameterizer<O extends NumberVector<O,?>>
Parameterization class. |
Field Summary | |
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private static Logging |
logger
The logger for this class. |
Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN |
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epsilon, EPSILON_ID, INNER_DISTANCE_FUNCTION_ID, LAMBDA_ID, minpts, MINPTS_ID, OUTER_DISTANCE_FUNCTION_ID |
Constructor Summary | |
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FourC(DoubleDistance epsilon,
int minpts,
LocallyWeightedDistanceFunction<V> distanceFunction,
int lambda)
Constructor. |
Method Summary | |
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TypeInformation[] |
getInputTypeRestriction()
Get the input type restriction used for negotiating the data query. |
protected Logging |
getLogger()
Get the (STATIC) logger for this class. |
String |
getLongResultName()
Return the long result name. |
String |
getShortResultName()
Return the short result name. |
Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.AbstractProjectedDBSCAN |
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expandCluster, run |
Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm |
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makeParameterDistanceFunction, run |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Methods inherited from interface de.lmu.ifi.dbs.elki.algorithm.clustering.ClusteringAlgorithm |
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run |
Field Detail |
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private static final Logging logger
Constructor Detail |
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public FourC(DoubleDistance epsilon, int minpts, LocallyWeightedDistanceFunction<V> distanceFunction, int lambda)
epsilon
- Epsilon valueminpts
- MinPts valuedistanceFunction
- Distance functionlambda
- Lambda valueMethod Detail |
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public String getLongResultName()
AbstractProjectedDBSCAN
getLongResultName
in class AbstractProjectedDBSCAN<Clustering<Model>,V extends NumberVector<V,?>>
public String getShortResultName()
AbstractProjectedDBSCAN
getShortResultName
in class AbstractProjectedDBSCAN<Clustering<Model>,V extends NumberVector<V,?>>
public TypeInformation[] getInputTypeRestriction()
AbstractAlgorithm
getInputTypeRestriction
in interface Algorithm
getInputTypeRestriction
in class AbstractProjectedDBSCAN<Clustering<Model>,V extends NumberVector<V,?>>
protected Logging getLogger()
AbstractAlgorithm
getLogger
in class AbstractAlgorithm<Clustering<Model>>
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