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Using the left Gram matrix to cluster high dimensional data

arXiv (Cornell University)(2022)10.48550/arxiv.2202.08236Source: DataRank Database

Using the left Gram matrix to cluster high dimensional data is a research paper published in arXiv (Cornell University) (2022). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)OA: greenTopics (34)IDs (PubMed, OpenAlex)

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Authors (3)

Valen E. Johnson ORCID,Suhasini Subba Rao ORCID,Shahina Rahman

Live enrichment

PubMed:19022398 OpenAlex:https://openalex.org/W4221167163

National Science Foundation

Grant: 1812054

Regression with Time Series Regressors

greenLicense: arXiv Non-Exclusive Distribution

repositoryhttps://arxiv.org/pdf/2202.08236

repositoryhttp://arxiv.org/abs/2202.08236

repositoryhttps://doi.org/10.48550/arxiv.2202.08236

https://doi.org/10.2139/ssrn.4037118

http://arxiv.org/pdf/2202.08236

Fields of Study

Gene expression and cancer classificationFace and Expression RecognitionNeural Networks and ApplicationsMachine Learning (stat.ML)Machine Learning (cs.LG)FOS: Computer and information sciences0206 medical engineering02 engineering and technology

Keywords

Cluster analysisMatrix (chemical analysis)Dimensionality reductionPreprocessorCluster (spacecraft)Dimension (graph theory)Computer scienceHyperparameterClustering high-dimensional dataAlgorithmFeature selectionGramian matrixPattern recognition (psychology)MathematicsRowData pointData miningArtificial intelligenceCombinatoricsEigenvalues and eigenvectorsPhysicsFOS: Computer and information sciencesComputer Science - Machine LearningStatistics - Machine LearningMachine Learning (stat.ML)Machine Learning (cs.LG)