@Reference(title="Database-friendly random projections: Johnson-Lindenstrauss with binary coins", authors="D. Achlioptas", booktitle="Proc. 20th ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems", url="https://doi.org/10.1145/375551.375608", bibkey="DBLP:conf/pods/Achlioptas01") @Alias(value="de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections.AchlioptasRandomProjectionFamily") public class AchlioptasRandomProjectionFamily extends AbstractRandomProjectionFamily
Reference:
D. Achlioptas
Database-friendly random projections: Johnson-Lindenstrauss with binary coins
Proc. 20th ACM SIGMOD-SIGACT-SIGART Symp. on Principles of database systems
TODO: faster implementation exploiting sparsity.
Modifier and Type | Class and Description |
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static class |
AchlioptasRandomProjectionFamily.Parameterizer
Parameterization class.
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AbstractRandomProjectionFamily.MatrixProjection
RandomProjectionFamily.Projection
Modifier and Type | Field and Description |
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private double |
sparsity
Projection sparsity.
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random
Constructor and Description |
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AchlioptasRandomProjectionFamily(double sparsity,
RandomFactory random)
Constructor.
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Modifier and Type | Method and Description |
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RandomProjectionFamily.Projection |
generateProjection(int idim,
int odim)
Generate a projection matrix for the given dimensionalities.
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public AchlioptasRandomProjectionFamily(double sparsity, RandomFactory random)
sparsity
- Projection sparsityrandom
- Random number generator.public RandomProjectionFamily.Projection generateProjection(int idim, int odim)
RandomProjectionFamily
idim
- Input Dimensionalityodim
- Output DimensionalityCopyright © 2019 ELKI Development Team. License information.