Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.projection |
Data projections (see also preprocessing filters for basic projections).
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Modifier and Type | Class and Description |
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class |
GaussianAffinityMatrixBuilder<O>
Compute the affinity matrix for SNE and tSNE using a Gaussian distribution
with a constant sigma.
|
class |
IntrinsicNearestNeighborAffinityMatrixBuilder<O>
Build sparse affinity matrix using the nearest neighbors only, adjusting for
intrinsic dimensionality.
|
class |
NearestNeighborAffinityMatrixBuilder<O>
Build sparse affinity matrix using the nearest neighbors only.
|
class |
PerplexityAffinityMatrixBuilder<O>
Compute the affinity matrix for SNE and tSNE.
|
Modifier and Type | Field and Description |
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protected AffinityMatrixBuilder<? super O> |
TSNE.affinity
Affinity matrix builder.
|
protected AffinityMatrixBuilder<? super O> |
TSNE.Parameterizer.affinity
Affinity matrix builder.
|
protected AffinityMatrixBuilder<? super O> |
SNE.affinity
Affinity matrix builder.
|
protected AffinityMatrixBuilder<? super O> |
SNE.Parameterizer.affinity
Affinity matrix builder.
|
Constructor and Description |
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BarnesHutTSNE(AffinityMatrixBuilder<? super O> affinity,
int dim,
double finalMomentum,
double learningRate,
int maxIterations,
RandomFactory random,
boolean keep,
double theta)
Constructor.
|
SNE(AffinityMatrixBuilder<? super O> affinity,
int dim,
double finalMomentum,
double learningRate,
int iterations,
RandomFactory random,
boolean keep)
Constructor.
|
SNE(AffinityMatrixBuilder<? super O> affinity,
int dim,
RandomFactory random)
Constructor with default values.
|
TSNE(AffinityMatrixBuilder<? super O> affinity,
int dim,
double finalMomentum,
double learningRate,
int iterations,
RandomFactory random,
boolean keep)
Constructor.
|
TSNE(AffinityMatrixBuilder<? super O> affinity,
int dim,
RandomFactory random)
Constructor with default values.
|
Copyright © 2019 ELKI Development Team. License information.