A divisive clustering method for functional data with special consideration of outliers

DOI10.1007/S11634-017-0290-1zbMath1416.62343OpenAlexW2742971940MaRDI QIDQ1630880

Marcela Svarc, Ana Justel

Publication date: 5 December 2018

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-017-0290-1

zbMATH Keywords

hierarchical clusteringgap statisticfunctional boxplot

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• fda (R)
• funHDDC
• fda.usc

Cites Work

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• Functional Clustering by Bayesian Wavelet Methods
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• Unsupervised Curve Clustering using B‐Splines
• Clustering for Sparsely Sampled Functional Data
• Functional Clustering and Identifying Substructures of Longitudinal Data
• On the Concept of Depth for Functional Data
• CATS

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