|
|
|||||||||||||||||||||
PREV NEXT | FRAMES NO FRAMES |
Packages that use CovarianceMatrixBuilder | |
---|---|
de.lmu.ifi.dbs.elki.math.linearalgebra.pca | Principal Component Analysis (PCA) and Eigenvector processing. |
Uses of CovarianceMatrixBuilder in de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
---|
Subclasses of CovarianceMatrixBuilder in de.lmu.ifi.dbs.elki.math.linearalgebra.pca | |
---|---|
class |
KernelCovarianceMatrixBuilder<V extends RealVector<V,?>,D extends NumberDistance<D,?>>
Kernel Covariance Matrix Builder. |
class |
StandardCovarianceMatrixBuilder<V extends RealVector<V,?>,D extends NumberDistance<D,?>>
Class for building a "traditional" covariance matrix. |
class |
WeightedCovarianceMatrixBuilder<V extends RealVector<V,?>,D extends NumberDistance<D,?>>
CovarianceMatrixBuilder with weights. |
Fields in de.lmu.ifi.dbs.elki.math.linearalgebra.pca declared as CovarianceMatrixBuilder | |
---|---|
protected CovarianceMatrixBuilder<V,D> |
PCARunner.covarianceMatrixBuilder
The covariance computation class. |
Fields in de.lmu.ifi.dbs.elki.math.linearalgebra.pca with type parameters of type CovarianceMatrixBuilder | |
---|---|
private ClassParameter<CovarianceMatrixBuilder<V,D>> |
PCARunner.COVARIANCE_PARAM
Parameter to specify the class to compute the covariance matrix. must be a subclass of CovarianceMatrixBuilder . |
Methods in de.lmu.ifi.dbs.elki.math.linearalgebra.pca that return CovarianceMatrixBuilder | |
---|---|
CovarianceMatrixBuilder<V,D> |
PCARunner.getCovarianceMatrixBuilder()
Get covariance matrix builder |
Methods in de.lmu.ifi.dbs.elki.math.linearalgebra.pca with parameters of type CovarianceMatrixBuilder | |
---|---|
void |
PCARunner.setCovarianceMatrixBuilder(CovarianceMatrixBuilder<V,D> covarianceBuilder)
Set covariance matrix builder. |
|
|
|||||||||||
PREV NEXT | FRAMES NO FRAMES |