Litcius/Paper detail

Why Clusters and Other Patterns Can Seem to be Found in Analyses of High-Dimensional Data

F. James Rohlf

2020Evolutionary Biology44 citationsDOI

Topics & Concepts

Curse of dimensionalitySample size determinationMultivariate statisticsStatisticsMathematicsPrincipal component analysisPopulationSample (material)UncorrelatedIndex (typography)Sampling (signal processing)Computer sciencePhysicsDemographySociologyFilter (signal processing)Computer visionThermodynamicsWorld Wide WebMorphological variations and asymmetryPlant and animal studiesEcology and Vegetation Dynamics Studies
Why Clusters and Other Patterns Can Seem to be Found in Analyses of High-Dimensional Data | Litcius