Uses of Package
de.lmu.ifi.dbs.elki.algorithm.projection

Packages that use de.lmu.ifi.dbs.elki.algorithm.projection

Package	Description
de.lmu.ifi.dbs.elki.algorithm.projection	Data projections (see also preprocessing filters for basic projections).

Classes in de.lmu.ifi.dbs.elki.algorithm.projection used by de.lmu.ifi.dbs.elki.algorithm.projection

Class and Description
AbstractProjectionAlgorithm Abstract base class for projection algorithms.
AffinityMatrix Abstraction interface for an affinity matrix.
AffinityMatrixBuilder Interface for computing an affinity matrix.
BarnesHutTSNE tSNE using Barnes-Hut-Approximation.
BarnesHutTSNE.QuadTree Quad Tree for use in a Barnes-Hut approximation.
GaussianAffinityMatrixBuilder Compute the affinity matrix for SNE and tSNE using a Gaussian distribution with a constant sigma.
IntrinsicNearestNeighborAffinityMatrixBuilder Build sparse affinity matrix using the nearest neighbors only, adjusting for intrinsic dimensionality.
NearestNeighborAffinityMatrixBuilder Build sparse affinity matrix using the nearest neighbors only.
NearestNeighborAffinityMatrixBuilder.Parameterizer Parameterization class.
PerplexityAffinityMatrixBuilder Compute the affinity matrix for SNE and tSNE.
PerplexityAffinityMatrixBuilder.Parameterizer Parameterization class.
SNE Stochastic Neighbor Embedding is a projection technique designed for visualization that tries to preserve the nearest neighbor structure.
TSNE t-Stochastic Neighbor Embedding is a projection technique designed for visualization that tries to preserve the nearest neighbor structure.
TSNE.Parameterizer Parameterization class.