Package elki.math.linearalgebra.pca.filter
Filter eigenvectors based on their eigenvalues.

Interface Summary Interface Description EigenPairFilter The eigenpair filter is used to filter eigenpairs (i.e. eigenvectors and their corresponding eigenvalues) which are a result of a Variance Analysis Algorithm, e.g., Principal Component Analysis. 
Class Summary Class Description DropEigenPairFilter The "drop" filter looks for the largest drop in normalized relative eigenvalues.DropEigenPairFilter.Par Parameterization class.FirstNEigenPairFilter The FirstNEigenPairFilter marks the n highest eigenpairs as strong eigenpairs, where n is a user specified number.FirstNEigenPairFilter.Par Parameterization class.LimitEigenPairFilter The LimitEigenPairFilter marks all eigenpairs having an (absolute) eigenvalue below the specified threshold (relative or absolute) as weak eigenpairs, the others are marked as strong eigenpairs.LimitEigenPairFilter.Par Parameterization class.PercentageEigenPairFilter The PercentageEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is higher than the given percentage of the sum of all eigenvalues as strong eigenpairs.PercentageEigenPairFilter.Par Parameterization class.ProgressiveEigenPairFilter The ProgressiveEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and marks the first eigenpairs, whose sum of eigenvalues is higher than the given percentage of the sum of all eigenvalues as strong eigenpairs.ProgressiveEigenPairFilter.Par Parameterization class.RelativeEigenPairFilter The RelativeEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and marks the first eigenpairs who are a certain factor above the average of the remaining eigenvalues.RelativeEigenPairFilter.Par Parameterization class.SignificantEigenPairFilter The SignificantEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and chooses the contrast of an Eigenvalue to the remaining Eigenvalues is maximal.SignificantEigenPairFilter.Par Parameterization class.WeakEigenPairFilter The WeakEigenPairFilter sorts the eigenpairs in descending order of their eigenvalues and returns the first eigenpairs who are above the average mark as "strong", the others as "weak".WeakEigenPairFilter.Par Parameterization class.