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java.lang.Object de.lmu.ifi.dbs.elki.logging.AbstractLoggable de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<V,ClusterOrderResult<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
2006), Vienna, Austria, 2006.
Field Summary | |
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static OptionID |
ALPHA_ID
OptionID for ALPHA_PARAM . |
private DoubleParameter |
ALPHA_PARAM
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_PARAM . |
static OptionID |
DELTA_ID
OptionID for DELTA_PARAM . |
private DoubleParameter |
DELTA_PARAM
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
OptionID for K_PARAM . |
private IntParameter |
K_PARAM
Optional parameter to specify the number of nearest neighbors considered in the PCA, must be an integer greater than 0. |
static OptionID |
MU_ID
OptionID for MU_PARAM . |
private IntParameter |
MU_PARAM
Parameter to specify the smoothing factor, must be an integer greater than 0. |
Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable |
---|
debug, logger |
Constructor Summary | |
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HiCO(Parameterization config)
Constructor, adhering to Parameterizable |
Method Summary | |
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protected ClusterOrderResult<PCACorrelationDistance> |
runInTime(Database<V> database)
The run method encapsulated in measure of runtime. |
Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm |
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isTime, isVerbose, run, setTime, setVerbose |
Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable |
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debugFine, debugFiner, debugFinest, exception, progress, verbose, warning |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Field Detail |
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public static final OptionID MU_ID
MU_PARAM
.
private final IntParameter MU_PARAM
MU_PARAM
-nearest neighbor is used to compute the
correlation reachability of an object.
Key: -hico.mu
public static final OptionID K_ID
K_PARAM
.
private final IntParameter K_PARAM
MU_PARAM
.
Key: -hico.k
Default value: MU_PARAM
public static final OptionID DELTA_ID
DELTA_PARAM
.
private final DoubleParameter DELTA_PARAM
Default value: 0.25
Key: -hico.delta
public static final double DEFAULT_ALPHA
ALPHA_PARAM
.
public static final OptionID ALPHA_ID
ALPHA_PARAM
.
private final DoubleParameter ALPHA_PARAM
Default value: DEFAULT_ALPHA
Key: -hico.alpha
Constructor Detail |
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public HiCO(Parameterization config)
Parameterizable
config
- ParameterizationMethod Detail |
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protected ClusterOrderResult<PCACorrelationDistance> runInTime(Database<V> database) throws IllegalStateException
AbstractAlgorithm
runInTime
in class AbstractAlgorithm<V extends NumberVector<V,?>,ClusterOrderResult<PCACorrelationDistance>>
database
- the database to run the algorithm on
IllegalStateException
- if the algorithm has not been initialized
properly (e.g. the setParameters(String[]) method has been failed
to be called).
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