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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 2071–2080 of 3304 papers

Title	Date	Tasks	Status	Hype
Measuring group-separability in geometrical space for evaluation of pattern recognition and embedding algorithms	Dec 28, 2019	Dimensionality Reduction	—Unverified	0
Interpreting LSTM Prediction on Solar Flare Eruption with Time-series Clustering	Dec 27, 2019	Binary ClassificationClustering	CodeCode Available	0
Interpretable Embeddings From Molecular Simulations Using Gaussian Mixture Variational Autoencoders	Dec 22, 2019	ClusteringDimensionality Reduction	CodeCode Available	0
Learned SVD: solving inverse problems via hybrid autoencoding	Dec 20, 2019	Dimensionality Reduction	—Unverified	0
Deep learning to discover and predict dynamics on an inertial manifold	Dec 20, 2019	Dimensionality ReductionTranslation	CodeCode Available	0
Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection	Dec 19, 2019	ClassificationDeep Learning	—Unverified	0
Bounded Manifold Completion	Dec 19, 2019	Dimensionality ReductionImage Inpainting	—Unverified	0
Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems	Dec 19, 2019	Dimensionality ReductionRecommendation Systems	CodeCode Available	0
Projection Pursuit with Applications to scRNA Sequencing Data	Dec 16, 2019	Dimensionality Reduction	—Unverified	0
MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection	Dec 13, 2019	Dimensionality ReductionVariable Selection	—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