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 226–250 of 3304 papers

TitleStatusHype
Text Classification Algorithms: A SurveyCode1
The Unreasonable Effectiveness of Structured Random Orthogonal EmbeddingsCode1
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!Code1
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data—0
A Discussion On the Validity of Manifold Learning—0
Feature Clock: High-Dimensional Effects in Two-Dimensional Plots—0
A dimensionality reduction technique based on the Gromov-Wasserstein distance—0
A cognitive based Intrusion detection system—0
An Innovative Imputation and Classification Approach for Accurate Disease Prediction—0
An interpretable multiple kernel learning approach for the discovery of integrative cancer subtypes—0
3D Structural Phenotype of the Optic Nerve Head at the Intersection of Glaucoma and Myopia - A Key to Improving Glaucoma Diagnosis in Myopic Populations—0
A Dimensionality Reduction Approach for Convolutional Neural Networks—0
Visualization of AE's Training on Credit Card Transactions with Persistent Homology—0
Analysing race and sex bias in brain age prediction—0
Analyse en Composante Principale pour l'extraction des i-vecteurs en v\'erification du locuteur (Principal Component Analysis for i-vector extraction in speaker verification.) [in French]—0
A determinantal point process for column subset selection—0
A description length approach to determining the number of k-means clusters—0
Analysis and mining of low-carbon and energy-saving tourism data characteristics based on machine learning algorithm—0
Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization—0
Analysis of Cellular Feature Differences of Astrocytomas with Distinct Mutational Profiles Using Digitized Histopathology Images—0
Analysis of Evolving Cortical Neuronal Networks Using Visual Informatics—0
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence—0
Analytic Bilinear Appearance Subspace Construction for Modeling Image Irradiance under Natural Illumination and Non-Lambertian Reflectance—0
ANALYTiC: Understanding Decision Boundaries and Dimensionality Reduction in Machine Learning—0
An Algorithmic Information Calculus for Causal Discovery and Reprogramming Systems—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