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Dimensionality Reduction

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

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Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1051–1060 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
Dimensionality Reduction and Dynamical Mode Recognition of Circular Arrays of Flame Oscillators Using Deep Neural Network	Dec 5, 2023	Dimensionality Reduction	—Unverified	0	0
Dimensionality Reduction and Classification feature using Mutual Information applied to Hyperspectral Images : A Filter strategy based algorithm	Sep 28, 2012	Dimensionality Reduction	—Unverified	0	0
A Unified Framework for Optimization-Based Graph Coarsening	Oct 2, 2022	Dimensionality ReductionGraph Learning	—Unverified	0	0
A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe	Jan 18, 2017	ClusteringDecoder	—Unverified	0	0
Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder	Oct 28, 2020	Anomaly DetectionDimensionality Reduction	—Unverified	0	0
Dimensionality-reduced subspace clustering	Jul 25, 2015	ClusteringDimensionality Reduction	—Unverified	0	0
DimenFix: A novel meta-dimensionality reduction method for feature preservation	Nov 30, 2022	Dimensionality Reduction	—Unverified	0	0
Augment on Manifold: Mixup Regularization with UMAP	Dec 20, 2023	Data AugmentationDeep Learning	—Unverified	0	0
Digital Fingerprinting of Microstructures	Mar 25, 2022	Dimensionality ReductionTransfer Learning	—Unverified	0	0
Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks	Mar 7, 2020	DenoisingDimensionality Reduction	—Unverified	0	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