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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 3011–3020 of 3304 papers

Title	Date	Tasks	Status	Hype
Dimension reduction for model-based clustering	Aug 7, 2015	ClusteringDimensionality Reduction	—Unverified	0
Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction	Aug 5, 2015	Dimensionality Reduction	—Unverified	0
Dimension Reduction with Non-degrading Generalization	Aug 5, 2015	Data VisualizationDimensionality Reduction	—Unverified	0
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs	Jul 31, 2015	Dimensionality ReductionFace Recognition	—Unverified	0
Fast Robust PCA on Graphs	Jul 29, 2015	ClusteringDimensionality Reduction	—Unverified	0
Online Censoring for Large-Scale Regressions with Application to Streaming Big Data	Jul 27, 2015	Dimensionality Reductionregression	—Unverified	0
Dimensionality-reduced subspace clustering	Jul 25, 2015	ClusteringDimensionality Reduction	—Unverified	0
A study of the classification of low-dimensional data with supervised manifold learning	Jul 21, 2015	Dimensionality ReductionGeneral Classification	—Unverified	0
Sparsity in Multivariate Extremes with Applications to Anomaly Detection	Jul 21, 2015	Anomaly DetectionDimensionality Reduction	—Unverified	0
Extracting grid characteristics from spatially distributed place cell inputs using non-negative PCA	Jul 14, 2015	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