Dimensionality Reduction

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

( Image credit: openTSNE )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 226–250 of 3304 papers

Title	Date	Tasks	Status	Hype	Score
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections	Feb 17, 2020	Dimensionality Reduction	CodeCode Available	1	5
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation	Apr 14, 2023	Dimensionality ReductionSemantic Segmentation	CodeCode Available	1	5
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization	Dec 8, 2020	Data AugmentationData Visualization	CodeCode Available	1	5
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentation	Mar 28, 2022	DenoisingDimensionality Reduction	CodeCode Available	0	5
Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic Discharges	Feb 18, 2025	Dimensionality ReductionEEG	CodeCode Available	0	5
An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognition	Sep 2, 2023	AnatomyBinary Classification	CodeCode Available	0	5
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition	Jun 21, 2022	Active LearningClustering	CodeCode Available	0	5
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine	Feb 10, 2024	Dimensionality ReductionFeature Importance	CodeCode Available	0	5
Dimension Reduction and MARS	Feb 11, 2023	Dimensionality Reductionregression	CodeCode Available	0	5
Dimensionality Reduction using Similarity-induced Embeddings	Jun 18, 2017	Dimensionality ReductionSupervised dimensionality reduction	CodeCode Available	0	5
Reducing the dimensionality of data using tempered distributions	Mar 12, 2019	Dimensionality Reduction	CodeCode Available	0	5
Dimensionality Reduction Meets Message Passing for Graph Node Embeddings	Feb 1, 2022	Dimensionality ReductionNode Classification	CodeCode Available	0	5
Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanisms	May 3, 2024	Dimensionality Reduction	CodeCode Available	0	5
An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder	Sep 17, 2020	Dimensionality ReductionGeneral Classification	CodeCode Available	0	5
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation	Aug 7, 2023	Dimensionality ReductionImage Segmentation	CodeCode Available	0	5
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures	Apr 8, 2022	Deep LearningDimensionality Reduction	CodeCode Available	0	5
Dimensionality reduction, regularization, and generalization in overparameterized regressions	Nov 23, 2020	Data PoisoningDimensionality Reduction	CodeCode Available	0	5
A Clustering Framework for Residential Electric Demand Profiles	May 17, 2021	ClusteringDimensionality Reduction	CodeCode Available	0	5
Dimension Reduction for Data with Heterogeneous Missingness	Sep 24, 2021	Dimensionality ReductionMissing Values	CodeCode Available	0	5
Intrinsic statistical separation of subpopulations in heterogeneous collective motion via dimensionality reduction	May 16, 2023	ClusteringDimensionality Reduction	CodeCode Available	0	5
Dimension-reduced Optimization of Multi-zone Thermostatically Controlled Loads	May 1, 2025	Computational EfficiencyDimensionality Reduction	CodeCode Available	0	5
Differentiable VQ-VAE's for Robust White Matter Streamline Encodings	Nov 10, 2023	Dimensionality Reduction	CodeCode Available	0	5
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes	Feb 13, 2022	Dimensionality Reduction	CodeCode Available	0	5
DiffRed: Dimensionality Reduction guided by stable rank	Mar 9, 2024	Data SummarizationData Visualization	CodeCode Available	0	5
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting	Mar 27, 2023	Dimensionality ReductionState Estimation	CodeCode Available	0	5

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All datasets MCA EMNIST

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	90.9	—	Unverified
2	tSNE	Classification Accuracy	51.5	—	Unverified
3	IVIS	Classification Accuracy	46.6	—	Unverified
4	UMAP	Classification Accuracy	41.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UDRN	Classification Accuracy	71.1	—	Unverified
2	QS	Classification Accuracy	68	—	Unverified