Functional data clustering via piecewise constant nonparametric density estimation

DOI10.1016/j.patcog.2012.05.016zbMath1248.68398OpenAlexW1996619541MaRDI QIDQ454427

Marc Boullé

Publication date: 5 October 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2012.05.016

zbMATH Keywords

model selectionclusteringdensity estimationBayesianismfunctional dataexploratory analysisdistributional data

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (7)

Mixtures of spatial spline regressions for clustering and classification ⋮ Functional data clustering via hypothesis testing \(k\)-means ⋮ Functional data clustering: a survey ⋮ A fast epigraph and hypograph-based approach for clustering functional data ⋮ A new distance with derivative information for functional \(k\)-means clustering algorithm ⋮ Hierarchical two-part MDL code for multinomial distributions ⋮ The approximation algorithm based on seeding method for functional \(k\)-means problem

Uses Software

• fda (R)

Cites Work

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