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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 2631–2640 of 3304 papers

Title	Date	Tasks	Status	Hype
Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation	Jan 7, 2018	Dimensionality Reductionfeature selection	—Unverified	0
Learning automata based SVM for intrusion detection	Jan 4, 2018	Dimensionality ReductionIntrusion Detection	—Unverified	0
Deep Temporal Clustering: Fully unsupervised learning of time-domain features	Jan 1, 2018	ClusteringDimensionality Reduction	CodeCode Available	0
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection	Jan 1, 2018	Anomaly DetectionDensity Estimation	CodeCode Available	0
Kernel Regression with Sparse Metric Learning	Dec 25, 2017	Dimensionality ReductionMetric Learning	—Unverified	0
Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding	Dec 25, 2017	Dimensionality Reduction	CodeCode Available	0
A Mixture of Matrix Variate Bilinear Factor Analyzers	Dec 22, 2017	ClusteringDimensionality Reduction	CodeCode Available	0
Evaluation of PPG Biometrics for Authentication in different states	Dec 22, 2017	Dimensionality Reduction	—Unverified	0
Space-Filling Curve Indices as Acceleration Structure for Exemplar-Based Inpainting	Dec 18, 2017	Dimensionality Reduction	—Unverified	0
Taming Wild High Dimensional Text Data with a Fuzzy Lash	Dec 16, 2017	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