@Reference(authors="L. Amsaleg, O. Chelly, T. Furon, S. Girard, M. E. Houle, K. Kawarabayashi, M. Nett", title="Estimating Local Intrinsic Dimensionality", booktitle="Proc. SIGKDD International Conference on Knowledge Discovery and Data Mining 2015", url="https://doi.org/10.1145/2783258.2783405", bibkey="DBLP:conf/kdd/AmsalegCFGHKN15") public class MOMEstimator extends java.lang.Object implements IntrinsicDimensionalityEstimator
This could be generalized to higher order moments, but the variance increases with the order, and we need this to work well with small sample sizes.
Reference:
L. Amsaleg, O. Chelly, T. Furon, S. Girard, M. E. Houle, K. Kawarabayashi,
M. Nett
Estimating Local Intrinsic Dimensionality
Proc. SIGKDD Int. Conf. on Knowledge Discovery and Data Mining
Modifier and Type | Class and Description |
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static class |
MOMEstimator.Parameterizer
Parameterization class.
|
Modifier and Type | Field and Description |
---|---|
static MOMEstimator |
STATIC
Static instance.
|
Constructor and Description |
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MOMEstimator() |
Modifier and Type | Method and Description |
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<A> double |
estimate(A data,
NumberArrayAdapter<?,? super A> adapter,
int end)
Estimate from a distance list.
|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
countLeadingZeros, estimate, estimate, estimate, estimate, estimate
public static final MOMEstimator STATIC
public <A> double estimate(A data, NumberArrayAdapter<?,? super A> adapter, int end)
IntrinsicDimensionalityEstimator
estimate
in interface IntrinsicDimensionalityEstimator
A
- array typedata
- Dataadapter
- Array adapterend
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