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java.lang.Object de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<R> de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm<O,D,ClusterOrderResult<D>> de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS<V,PCACorrelationDistance> de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.HiCO<V>
V
- the type of NumberVector handled by the algorithm@Title(value="Mining Hierarchies of Correlation Clusters") @Description(value="Algorithm for detecting hierarchies of correlation clusters.") @Reference(authors="E. Achtert, C. B\u00f6hm, P. Kr\u00f6ger, A. Zimek", title="Mining Hierarchies of Correlation Clusterse", booktitle="Proc. Int. Conf. on Scientific and Statistical Database Management (SSDBM\'06), Vienna, Austria, 2006", url="http://dx.doi.org/10.1109/SSDBM.2006.35") public class HiCO<V extends NumberVector<V,?>>
Implementation of the HiCO algorithm, an algorithm for detecting hierarchies of correlation clusters.
Reference: E. Achtert, C. Böhm, P. Kröger, A. Zimek: Mining Hierarchies of
Correlation Clusters.
In: Proc. Int. Conf. on Scientific and Statistical Database Management
(SSDBM'06), Vienna, Austria, 2006.
Nested Class Summary | |
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static class |
HiCO.Parameterizer<V extends NumberVector<V,?>>
Parameterization class. |
Field Summary | |
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static OptionID |
ALPHA_ID
The threshold for 'strong' eigenvectors: the 'strong' eigenvectors explain a portion of at least alpha of the total variance. |
static double |
DEFAULT_ALPHA
The default value for ALPHA_ID . |
static double |
DEFAULT_DELTA
The default value for DELTA_ID . |
static OptionID |
DELTA_ID
Parameter to specify the threshold of a distance between a vector q and a given space that indicates that q adds a new dimension to the space, must be a double equal to or greater than 0. |
static OptionID |
K_ID
Optional parameter to specify the number of nearest neighbors considered in the PCA, must be an integer greater than 0. |
private static Logging |
logger
The logger for this class. |
static OptionID |
MU_ID
Parameter to specify the smoothing factor, must be an integer greater than 0. |
Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS |
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EPSILON_ID, MINPTS_ID |
Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm |
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DISTANCE_FUNCTION_ID |
Constructor Summary | |
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HiCO(PCABasedCorrelationDistanceFunction distanceFunction,
int mu)
Constructor. |
Method Summary | |
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protected Logging |
getLogger()
Get the (STATIC) logger for this class. |
Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS |
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expandClusterOrder, expandClusterOrderDouble, getDistanceFactory, getInputTypeRestriction, getMinPts, run |
Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractDistanceBasedAlgorithm |
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getDistanceFunction |
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.OPTICSTypeAlgorithm |
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run |
Field Detail |
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private static final Logging logger
public static final OptionID MU_ID
MU_ID
-nearest neighbor is used to compute the
correlation reachability of an object.
Key: -hico.mu
public static final OptionID K_ID
MU_ID
.
Key: -hico.k
Default value: MU_ID
public static final OptionID DELTA_ID
Default value: 0.25
Key: -hico.delta
public static final OptionID ALPHA_ID
Default value: DEFAULT_ALPHA
Key: -hico.alpha
public static final double DEFAULT_DELTA
DELTA_ID
.
public static final double DEFAULT_ALPHA
ALPHA_ID
.
Constructor Detail |
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public HiCO(PCABasedCorrelationDistanceFunction distanceFunction, int mu)
distanceFunction
- Distance functionmu
- Mu parameterMethod Detail |
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protected Logging getLogger()
AbstractAlgorithm
getLogger
in class OPTICS<V extends NumberVector<V,?>,PCACorrelationDistance>
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