SOTAVerified

Dimensionality Reduction

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

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Papers

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Showing 1341–1350 of 3304 papers

TitleStatusHype
A Critical Note on the Evaluation of Clustering Algorithms—0
A Category Space Approach to Supervised Dimensionality Reduction—0
Contrastive inverse regression for dimension reduction—0
Contrastive analysis for scatterplot-based representations of dimensionality reduction—0
Application of Deep Learning for Predictive Maintenance of Oilfield Equipment—0
Contrasting Syntagmatic and Paradigmatic Relations: Insights from Distributional Semantic Models—0
Continuum directions for supervised dimension reduction—0
Application of Computer Vision Techniques for Segregation of PlasticWaste based on Resin Identification Code—0
Contextual Categorization Enhancement through LLMs Latent-Space—0
Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis—0
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All datasetsMCAEMNIST

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy90.9—Unverified
2tSNEClassification Accuracy51.5—Unverified
3IVISClassification Accuracy46.6—Unverified
4UMAPClassification Accuracy41.3—Unverified
#ModelMetricClaimedVerifiedStatus
1UDRNClassification Accuracy71.1—Unverified
2QSClassification Accuracy68—Unverified