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Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensionality of a dataset.

( Image credit: openTSNE )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 3071–3080 of 3304 papers

Title	Date	Tasks	Status	Hype
A Confident Information First Principle for Parametric Reduction and Model Selection of Boltzmann Machines	Feb 5, 2015	Density EstimationDimensionality Reduction	—Unverified	0
Laplacian Mixture Modeling for Network Analysis and Unsupervised Learning on Graphs	Feb 3, 2015	ClusteringCommunity Detection	—Unverified	0
Optimized Projection for Sparse Representation Based Classification	Jan 31, 2015	ClassificationDimensionality Reduction	—Unverified	0
SHOE: Supervised Hashing with Output Embeddings	Jan 30, 2015	AttributeDimensionality Reduction	—Unverified	0
IT-map: an Effective Nonlinear Dimensionality Reduction Method for Interactive Clustering	Jan 26, 2015	ClusteringDimensionality Reduction	—Unverified	0
Deep Learning with Nonparametric Clustering	Jan 13, 2015	ClusteringDeep Learning	CodeCode Available	0
Deep Autoencoders for Dimensionality Reduction of High-Content Screening Data	Jan 7, 2015	ClusteringDimensionality Reduction	—Unverified	0
Chainer: a Next-Generation Open Source Framework for Deep Learning	Jan 1, 2015	ClusteringDeep Learning	CodeCode Available	0
A simple coding for cross-domain matching with dimension reduction via spectral graph embedding	Dec 29, 2014	Dimensionality ReductionGraph Embedding	—Unverified	0
Outperforming Word2Vec on Analogy Tasks with Random Projections	Dec 20, 2014	Dimensionality Reduction	—Unverified	0

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All datasets MCA EMNIST

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	90.9	—	Unverified
2	tSNE	Classification Accuracy	51.5	—	Unverified
3	IVIS	Classification Accuracy	46.6	—	Unverified
4	UMAP	Classification Accuracy	41.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	71.1	—	Unverified
2	QS	Classification Accuracy	68	—	Unverified