Uses of Class
elki.math.linearalgebra.pca.PCARunner
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Packages that use PCARunner Package Description elki.algorithm Miscellaneous algorithms.elki.clustering.correlation Correlation clustering algorithms.elki.clustering.dbscan.predicates Neighbor and core predicated for Generalized DBSCAN.elki.math.linearalgebra.pca Principal Component Analysis (PCA) and eigenvector processing.elki.math.statistics.intrinsicdimensionality Methods for estimating the intrinsic dimensionality.elki.outlier Outlier detection algorithms. -
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Uses of PCARunner in elki.algorithm
Fields in elki.algorithm declared as PCARunner Modifier and Type Field Description protected PCARunnerDependencyDerivator.Par. pcaClass to compute PCA withprivate PCARunnerDependencyDerivator. pcaHolds the object performing the pca.Constructors in elki.algorithm with parameters of type PCARunner Constructor Description DependencyDerivator(NumberVectorDistance<? super V> distance, java.text.NumberFormat nf, PCARunner pca, EigenPairFilter filter, int sampleSize, boolean randomsample)Constructor. -
Uses of PCARunner in elki.clustering.correlation
Fields in elki.clustering.correlation declared as PCARunner Modifier and Type Field Description PCARunnerCOPAC.Settings. pcaClass to compute PCA.PCARunnerERiC.Settings. pcaClass to compute PCA.protected PCARunnerHiCO.Par. pcaPCA utility object.private PCARunnerHiCO. pcaPCA utility object.protected PCARunnerORCLUS.Par. pcaPCA procedureprivate PCARunnerORCLUS. pcaThe PCA utility object.Constructors in elki.clustering.correlation with parameters of type PCARunner Constructor Description HiCO(int k, PCARunner pca, double alpha, int mu, double delta)Constructor.ORCLUS(int k, int k_i, int l, double alpha, RandomFactory rnd, PCARunner pca)Java constructor. -
Uses of PCARunner in elki.clustering.dbscan.predicates
Fields in elki.clustering.dbscan.predicates declared as PCARunner Modifier and Type Field Description private PCARunnerFourCNeighborPredicate. pcaThe Filtered PCA Runner -
Uses of PCARunner in elki.math.linearalgebra.pca
Subclasses of PCARunner in elki.math.linearalgebra.pca Modifier and Type Class Description classAutotuningPCAPerforms a self-tuning local PCA based on the covariance matrices of given objects.Methods in elki.math.linearalgebra.pca that return PCARunner Modifier and Type Method Description PCARunnerPCARunner.Par. make() -
Uses of PCARunner in elki.math.statistics.intrinsicdimensionality
Fields in elki.math.statistics.intrinsicdimensionality declared as PCARunner Modifier and Type Field Description protected PCARunnerLPCAEstimator. pcaRunnerClass to perform PCA -
Uses of PCARunner in elki.outlier
Fields in elki.outlier declared as PCARunner Modifier and Type Field Description (package private) PCARunnerCOP.Par. pcaHolds the object performing the dependency derivation.protected PCARunnerCOP. pcaHolds the PCA runner.protected PCARunnerSimpleCOP.Par. pcaHolds the object performing the dependency derivationConstructors in elki.outlier with parameters of type PCARunner Constructor Description COP(Distance<? super V> distance, int k, PCARunner pca, double expect, COP.DistanceDist dist, boolean models)Constructor.SimpleCOP(Distance<? super V> distance, int k, PCARunner pca, EigenPairFilter filter)Constructor.
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