de.lmu.ifi.dbs.elki.math.linearalgebra.pca
Class CovarianceMatrixBuilder<V extends RealVector<V,?>,D extends NumberDistance<D,?>>

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable
          de.lmu.ifi.dbs.elki.math.linearalgebra.pca.CovarianceMatrixBuilder<V,D>

Type Parameters:

V - Vector class in use

All Implemented Interfaces:

Parameterizable

Direct Known Subclasses:

KernelCovarianceMatrixBuilder, StandardCovarianceMatrixBuilder, WeightedCovarianceMatrixBuilder

public abstract class CovarianceMatrixBuilder<V extends RealVector<V,?>,D extends NumberDistance<D,?>>
extends AbstractParameterizable

Abstract class with the task of computing a Covariance matrix to be used in PCA. Mostly the specification of an interface.

Author:

Erich Schubert

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

optionHandler

Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debug, logger

Constructor Summary

CovarianceMatrixBuilder()

Method Summary

Matrix	processDatabase(Database<V> database) Compute Covariance Matrix for a complete database
abstract Matrix	processIds(Collection<Integer> ids, Database<V> database) Compute Covariance Matrix for a collection of database IDs
Matrix	processQueryResults(Collection<DistanceResultPair<D>> results, Database<V> database) Compute Covariance Matrix for a QueryResult Collection By default it will just collect the ids and run processIds
Matrix	processQueryResults(Collection<DistanceResultPair<D>> results, Database<V> database, int k) Compute Covariance Matrix for a QueryResult Collection By default it will just collect the ids and run processIds

Methods inherited from class de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizable

addOption, addParameterizable, addParameterizable, checkGlobalParameterConstraints, collectOptions, getAttributeSettings, getParameters, rememberParametersExcept, removeOption, removeParameterizable, setParameters, shortDescription

Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debugFine, debugFiner, debugFinest, exception, progress, verbose, warning

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

CovarianceMatrixBuilder

public CovarianceMatrixBuilder()

Method Detail

processDatabase

public Matrix processDatabase(Database<V> database)

Compute Covariance Matrix for a complete database

Parameters:

database - the database used

Returns:

Covariance Matrix

processIds

public abstract Matrix processIds(Collection<Integer> ids,
                                  Database<V> database)

Compute Covariance Matrix for a collection of database IDs

Parameters:

ids - a collection of ids

database - the database used

Returns:

Covariance Matrix

processQueryResults

public Matrix processQueryResults(Collection<DistanceResultPair<D>> results,
                                  Database<V> database,
                                  int k)

Compute Covariance Matrix for a QueryResult Collection By default it will just collect the ids and run processIds

Parameters:

results - a collection of QueryResults

database - the database used

k - the number of entries to process

Returns:

Covariance Matrix

processQueryResults

public final Matrix processQueryResults(Collection<DistanceResultPair<D>> results,
                                        Database<V> database)

Compute Covariance Matrix for a QueryResult Collection By default it will just collect the ids and run processIds

Parameters:

results - a collection of QueryResults

database - the database used

Returns:

Covariance Matrix