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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 1871–1880 of 3304 papers

Title	Date	Tasks	Status	Hype
Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation	Oct 14, 2020	Computational EfficiencyDimensionality Reduction	CodeCode Available	0
Mycorrhiza: Genotype Assignment usingPhylogenetic Networks	Oct 14, 2020	BIG-bench Machine LearningDimensionality Reduction	CodeCode Available	0
Causal learning with sufficient statistics: an information bottleneck approach	Oct 12, 2020	Dimensionality Reduction	—Unverified	0
0-dimensional Homology Preserving Dimensionality Reduction with TopoMap	Oct 10, 2020	Dimensionality Reduction	—Unverified	0
Circular Coordinate Methods with Generalized Penalty Functions	Oct 10, 2020	Dimensionality Reduction	—Unverified	0
Challenging Euclidean Topological Autoencoders	Oct 10, 2020	Dimensionality Reduction	CodeCode Available	0
Causal Feature Selection with Dimension Reduction for Interpretable Text Classification	Oct 9, 2020	Causal InferenceClassification	—Unverified	0
Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images	Oct 7, 2020	Dimensionality ReductionGeneral Classification	—Unverified	0
Invertible Manifold Learning for Dimension Reduction	Oct 7, 2020	Dimensionality Reduction	CodeCode Available	0
Combination of digital signal processing and assembled predictive models facilitates the rational design of proteins	Oct 7, 2020	ClusteringDimensionality 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