de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Interface CovarianceMatrixBuilder<V extends NumberVector<?>>

Type Parameters:

V - Vector base type

All Known Implementing Classes:

AbstractCovarianceMatrixBuilder, RANSACCovarianceMatrixBuilder, StandardCovarianceMatrixBuilder, WeightedCovarianceMatrixBuilder

public interface CovarianceMatrixBuilder<V extends NumberVector<?>>

Interface for computing covariance matrixes on a data set.

Method Summary

Methods

Modifier and Type	Method and Description
Matrix	processDatabase(Relation<? extends V> database) Compute Covariance Matrix for a complete database.
Matrix	processIds(DBIDs ids, Relation<? extends V> database) Compute Covariance Matrix for a collection of database IDs.
<D extends NumberDistance<D,?>> Matrix	processQueryResults(DistanceDBIDResult<D> results, Relation<? extends V> database) Compute Covariance Matrix for a QueryResult Collection.
<D extends NumberDistance<D,?>> Matrix	processQueryResults(DistanceDBIDResult<D> results, Relation<? extends V> database, int k) Compute Covariance Matrix for a QueryResult Collection.

Method Detail

processDatabase

Matrix processDatabase(Relation<? extends V> database)

Compute Covariance Matrix for a complete database.

Parameters:

database - the database used

Returns:

Covariance Matrix

processIds

Matrix processIds(DBIDs ids,
                Relation<? extends 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

<D extends NumberDistance<D,?>> Matrix processQueryResults(DistanceDBIDResult<D> results,
                                                         Relation<? extends V> database,
                                                         int k)

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

Type Parameters:

D - distance type

Parameters:

results - a collection of QueryResults

database - the database used

k - the number of entries to process

Returns:

Covariance Matrix

processQueryResults

<D extends NumberDistance<D,?>> Matrix processQueryResults(DistanceDBIDResult<D> results,
                                                         Relation<? extends V> database)

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

Type Parameters:

D - distance type

Parameters:

results - a collection of QueryResults

database - the database used

Returns:

Covariance Matrix