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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 2211–2220 of 3304 papers

Title	Date	Tasks	Status	Hype
Machine learning in APOGEE: Identification of stellar populations through chemical abundances	Jul 30, 2019	BIG-bench Machine LearningClustering	—Unverified	0
Autoencoding with a Learning Classifier System: Initial Results	Jul 26, 2019	ClusteringDimensionality Reduction	—Unverified	0
Interpretability Beyond Classification Output: Semantic Bottleneck Networks	Jul 25, 2019	ClassificationDimensionality Reduction	—Unverified	0
Completing partial recipes using item-based collaborative filtering to recommend ingredients	Jul 23, 2019	Collaborative FilteringDimensionality Reduction	CodeCode Available	0
Performance-Complexity Tradeoffs in Greedy Weak Submodular Maximization with Random Sampling	Jul 22, 2019	Dimensionality Reductionfeature selection	—Unverified	0
High Dimensional Bayesian Optimization via Supervised Dimension Reduction	Jul 21, 2019	Bayesian OptimizationDimensionality Reduction	CodeCode Available	0
Word Sense Disambiguation using Diffusion Kernel PCA	Jul 21, 2019	Dimensionality ReductionMachine Translation	—Unverified	0
Compressed Subspace Learning Based on Canonical Angle Preserving Property	Jul 14, 2019	ClusteringDimensionality Reduction	—Unverified	0
Multiscale Principle of Relevant Information for Hyperspectral Image Classification	Jul 13, 2019	ClassificationDimensionality Reduction	CodeCode Available	0
Improving the Projection of Global Structures in Data through Spanning Trees	Jul 12, 2019	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