@Title(value="Significant EigenPair Filter")
@Description(value="Sorts the eigenpairs in decending order of their eigenvalues and looks for the maxmimum contrast of current Eigenvalue / average of remaining Eigenvalues.")
public 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.
It is closely related to the WeakEigenPairFilter and RelativeEigenPairFilter.
But while the RelativeEigenPairFilter chooses the highest dimensionality that
satisfies the relative alpha levels, the SignificantEigenPairFilter will
chose the local dimensionality such that the 'contrast' is maximal.
There are some situations where one or the other is superior, especially when
it comes to handling nested clusters and strong global correlations that are
not too interesting. These benefits usually only make a difference at higher