The approach chosen for data dimensionality reduction affects the results of running technique clustering

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dc.contributor.authorRivadulla, Adrian
dc.contributor.authorChen, Xi
dc.contributor.authorCazzola, Dario
dc.contributor.authorTrewartha, Grant
dc.contributor.authorPreatoni, Ezio
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T19:55:14Z
dc.date.available2026-03-22T19:55:14Z
dc.date.issued2023
dc.identifier.urihttps://researchportal.bath.ac.uk/en/publications/46ccdbdc-65f0-44e9-9888-2c34100a2419
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/78913
dc.language.isoen
dc.publisherUniversity of Bath
dc.relation.ispartofPure (University of Bath)
dc.sourceDatalys Center for Sports Injury Research and Prevention
dc.subjectCluster analysis
dc.subjectComputer science
dc.subjectDimensionality reduction
dc.subjectArtificial intelligence
dc.subjectPattern recognition (psychology)
dc.subjectData mining
dc.subjectReduction (mathematics)
dc.subjectCurse of dimensionality
dc.subjectAlgorithm
dc.subjectFeature (linguistics)
dc.titleThe approach chosen for data dimensionality reduction affects the results of running technique clustering
dc.typearticle

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