Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.projection |
Data projections (see also preprocessing filters for basic projections).
|
Modifier and Type | Class and Description |
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class |
DenseAffinityMatrix
Dense affinity matrix storage.
|
class |
SparseAffinityMatrix
Dense affinity matrix storage.
|
Modifier and Type | Method and Description |
---|---|
<T extends O> |
GaussianAffinityMatrixBuilder.computeAffinityMatrix(Relation<T> relation,
double initialScale) |
<T extends O> |
AffinityMatrixBuilder.computeAffinityMatrix(Relation<T> relation,
double initialScale)
Compute the affinity matrix.
|
<T extends O> |
NearestNeighborAffinityMatrixBuilder.computeAffinityMatrix(Relation<T> relation,
double initialScale) |
<T extends O> |
PerplexityAffinityMatrixBuilder.computeAffinityMatrix(Relation<T> relation,
double initialScale) |
<T extends O> |
IntrinsicNearestNeighborAffinityMatrixBuilder.computeAffinityMatrix(Relation<T> relation,
double initialScale) |
Modifier and Type | Method and Description |
---|---|
private void |
BarnesHutTSNE.computeAttractiveForces(double[] attr,
AffinityMatrix pij,
double[][] sol) |
private void |
BarnesHutTSNE.computeGradient(AffinityMatrix pij,
double[][] solution,
double[] grad) |
protected void |
TSNE.computeGradient(AffinityMatrix pij,
double[][] qij,
double qij_isum,
double[][] sol,
double[] meta)
Compute the gradients.
|
protected void |
SNE.computeGradient(AffinityMatrix pij,
double[][] qij,
double qij_isum,
double[][] sol,
double[] meta)
Compute the gradients.
|
protected void |
SNE.optimizeSNE(AffinityMatrix pij,
double[][] sol)
Perform the actual tSNE optimization.
|
protected void |
BarnesHutTSNE.optimizetSNE(AffinityMatrix pij,
double[][] sol)
Perform the actual tSNE optimization.
|
protected void |
TSNE.optimizetSNE(AffinityMatrix pij,
double[][] sol)
Perform the actual tSNE optimization.
|
Copyright © 2019 ELKI Development Team. License information.