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Heavy-Tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations

Lecture notes in computer science(2020)10.1007/978-3-030-46150-8_8Source: DataRank Database

Heavy-Tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations is a research paper published in Lecture notes in computer science (2020). On theSindex it has a DataRank of 0. It has been cited 13 times.

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Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations · arXiv

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (10 grants)Impact (FWCI 7.35)OA: hybridTopics (26)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)

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Context only (not used in score)

Findable (2/2)

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Accessible (1/2)

Open Access

Interoperable (2/2)

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Authors (5)

George Linderman,Stefan Steinerberger,Yuval Kluger ORCID,Philipp Berens ORCID,Dmitry Kobak ORCID

Live enrichment

PubMed:33103160 PMC:PMC7582035 OpenAlex:https://openalex.org/W2912612061

NIGMS NIH HHS

Grant: R01 GM131642

NHGRI NIH HHS

Grant: F30 HG010102

NIGMS NIH HHS

Grant: T32 GM007205

NHGRI NIH HHS

Grant: R01 HG008383

NIMH NIH HHS

Grant: U19 MH114830

National Institutes of Health

Grant: 5F30HG010102-02

Efficient Methods for Imputation, Dimensionality Reduction, and Visualization of Single Cell RNA-Sequencing Data

National Institutes of Health

Grant: 5T32GM007205-23

MEDICAL SCIENTIST TRAINING PROGRAM

National Institutes of Health

Grant: 5U19MH114830-05

A comprehensive whole-brain atlas of cell types in the mouse

National Science Foundation

Grant: 1763179

Geometric Properties of Second Order Elliptic Partial Differential Equations

National Institutes of Health

Grant: 5R01HG008383-03

EFFICIENT SPECTRAL APPROACHES FOR FINDING UNDERLYING STRUCTURES IN BIG DATA

FWCI

7.35

Citation Percentile

1.0%

Influential Citations

Citation Trend

2019

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2022

2023

2024

hybridLicense: cc-by

book serieshttps://link.springer.com/content/pdf/10.1007%2F978-3-030-46150-8_8.pdf

HYBRIDhttps://link.springer.com/content/pdf/10.1007%2F978-3-030-46150-8_8.pdf

publisherhttps://link.springer.com/content/pdf/10.1007%2F978-3-030-46150-8_8.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/978-3-030-46150-8_8

book serieshttps://doi.org/10.1007/978-3-030-46150-8_8

Fields of Study

Single-cell and spatial transcriptomicsGenerative Adversarial Networks and Image SynthesisGaussian Processes and Bayesian InferenceComputer ScienceMathematicsMedicinePhysics0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Kernel (algebra)EmbeddingCluster (spacecraft)GaussianDomain (mathematical analysis)Similarity (geometry)Cluster analysisData structureDimensionality ReductionData VisualisationT-sneFOS: Computer and information sciencesComputer Science - Machine LearningStatistics - Machine LearningMachine Learning (stat.ML)Machine Learning (cs.LG)

Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations

10.48550/arxiv.1902.05804arXiv