Deep Recursive Embedding for High-Dimensional Data

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License: MIT License (LICENSE)

Author: Xinrui Zu

Tags Dimensionality, Reduction, t-SNE, UMAP, Representation, Learning

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Project description

# Deep Recursive Embedding

Deep Recursive Embedding (DRE) is a novel demensionality reduction method based on a generic deep embedding network (DEN) framework, which is able to learn a parametric mapping from high-dimensional space to low-dimensional space, guided by a recursive training strategy. DRE makes use of the latent data representations for boosted embedding performance.

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License: MIT License (LICENSE)

Author: Xinrui Zu

Tags Dimensionality, Reduction, t-SNE, UMAP, Representation, Learning

Classifiers

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1.1.27

1.1.26

1.1.25

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This version

1.0.3

1.0.2

1.0.1

1.0.0

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