SOTAVerified

Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1726–1750 of 3304 papers

TitleStatusHype
The Mathematics Behind Spectral Clustering And The Equivalence To PCA—0
Unsupervised dynamic modeling of medical image transformationCode0
Validating Clustering Frameworks for Electric Load Demand ProfilesCode0
t-SNE, Forceful Colorings and Mean Field Limits—0
Quantization Algorithms for Random Fourier Features—0
Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images—0
Theoretical Understandings of Product Embedding for E-commerce Machine Learning—0
Learning-Augmented Sketches for Hessians—0
Multi-Space Evolutionary Search for Large-Scale Optimization—0
Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized AutoencodersCode0
Center Smoothing: Certified Robustness for Networks with Structured OutputsCode0
A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution—0
A Deep Embedded Refined Clustering Approach for Breast Cancer Distinction based on DNA Methylation—0
Random Projections for Improved Adversarial Robustness—0
Joint Characterization of Multiscale Information in High Dimensional Data—0
DAC: Deep Autoencoder-based Clustering, a General Deep Learning Framework of Representation Learning—0
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoderCode0
Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF)—0
Communication-efficient k-Means for Edge-based Machine Learning—0
RaSE: A Variable Screening Framework via Random Subspace EnsemblesCode0
Direction and Constraint in Phenotypic Evolution: Dimension Reduction and Global Proportionality in Phenotype Fluctuation and Responses—0
Robust Principal Component Analysis: A Median of Means Approach—0
Matrix Decomposition on Graphs: A Functional View—0
Optimizing Unlicensed Band Spectrum Sharing With Subspace-Based Pareto Tracing—0
System-reliability based multi-ensemble of GAN and one-class joint Gaussian distributions for unsupervised real-time structural health monitoring—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