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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 3001–3010 of 3304 papers

Title	Date	Tasks	Status	Hype
Factorization of Latent Variables in Distributional Semantic Models	Sep 1, 2015	Dimensionality Reduction	—Unverified	0
Online Supervised Subspace Tracking	Sep 1, 2015	Dimensionality Reductionregression	—Unverified	0
A Fuzzy Approach for Feature Evaluation and Dimensionality Reduction to Improve the Quality of Web Usage Mining Results	Sep 1, 2015	ClusteringDimensionality Reduction	—Unverified	0
Topic Identification and Discovery on Text and Speech	Sep 1, 2015	Dimensionality ReductionSpeech Recognition	—Unverified	0
Gaussian Mixture Models with Component Means Constrained in Pre-selected Subspaces	Aug 26, 2015	ClusteringDimensionality Reduction	—Unverified	0
MultiView Diffusion Maps	Aug 23, 2015	Anomaly DetectionClustering	—Unverified	0
Scalable Out-of-Sample Extension of Graph Embeddings Using Deep Neural Networks	Aug 18, 2015	Dimensionality ReductionGraph Embedding	—Unverified	0
Dimensionality Reduction of Collective Motion by Principal Manifolds	Aug 13, 2015	Dimensionality Reduction	—Unverified	0
Identifying manifolds underlying group motion in Vicsek agents	Aug 12, 2015	Dimensionality Reduction	—Unverified	0
Model-based SIR for dimension reduction	Aug 10, 2015	Dimensionality ReductionGeneral Classification	—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