SOTAVerified

Dimensionality Reduction

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

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1781–1790 of 3304 papers

TitleStatusHype
Wheat Crop Yield Prediction Using Deep LSTM Model—0
Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process—0
Fuzzy Pooling—0
Going Beyond T-SNE: Exposing whatlies in Text Embeddings—0
Towards Measuring Place Function Similarity at Fine Spatial Granularity with Trajectory Embedding—0
RRScell method for automated single-cell profiling of multiplexed immunofluorescence cancer tissue—0
The Mathematical Foundations of Manifold Learning—0
Deep generative LDACode0
Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection—0
Identifying Transition States of Chemical Kinetic Systems using Network Embedding Techniques—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