SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Showing 521530 of 3304 papers

TitleStatusHype
Detecting covariate drift in text data using document embeddings and dimensionality reductionCode0
Deep Temporal Clustering: Fully unsupervised learning of time-domain featuresCode0
An Information Theory-Based Feature Selection Framework for Big Data Under Apache SparkCode0
Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue OptimizationCode0
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain FeaturesCode0
Degradation Modeling and Prognostic Analysis Under Unknown Failure ModesCode0
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled LoadsCode0
Deep Learning with Nonparametric ClusteringCode0
A Computational Topology-based Spatiotemporal Analysis Technique for Honeybee AggregationCode0
Deep Linear Discriminant AnalysisCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9Unverified
2tSNEClassification Accuracy51.5Unverified
3IVISClassification Accuracy46.6Unverified
4UMAPClassification Accuracy41.3Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1Unverified
2QSClassification Accuracy68Unverified