Package elki.index.projected
Class PINN<O extends NumberVector>
- java.lang.Object
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- elki.index.projected.ProjectedIndex.Factory<O,O>
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- elki.index.projected.PINN<O>
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- Type Parameters:
O
- Object type
- All Implemented Interfaces:
IndexFactory<O>
@Title("PINN: Projection Indexed Nearest Neighbors") @Reference(title="Finding local anomalies in very high dimensional space", authors="T. de Vries, S. Chawla, M. E. Houle", booktitle="Proc. IEEE 10th International Conference on Data Mining (ICDM)", url="https://doi.org/10.1109/ICDM.2010.151", bibkey="DBLP:conf/icdm/VriesCH10") public class PINN<O extends NumberVector> extends ProjectedIndex.Factory<O,O>
Projection-Indexed nearest-neighbors (PINN) is an index to retrieve the nearest neighbors in high dimensional spaces by using a random projection based index.Reference:
Finding local anomalies in very high dimensional space
T. de Vries, S. Chawla, M. E. Houle
In: Proc. IEEE 10th International Conference on Data Mining (ICDM)- Since:
- 0.6.0
- Author:
- Erich Schubert
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Field Summary
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Fields inherited from class elki.index.projected.ProjectedIndex.Factory
inner, kmulti, materialize, norefine, proj
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Constructor Summary
Constructors Constructor Description PINN(IndexFactory<O> inner, int t, double s, double h, RandomFactory random)
Constructor.
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Method Summary
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Methods inherited from class elki.index.projected.ProjectedIndex.Factory
getInputTypeRestriction, instantiate
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Constructor Detail
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PINN
public PINN(IndexFactory<O> inner, int t, double s, double h, RandomFactory random)
Constructor.- Parameters:
inner
- Inner indext
- Target dimensionalitys
- Sparsityh
- Neighborhood size multiplicatorrandom
- Random generator factory
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