A Comparison of Hierarchical Methods for Clustering Functional Data

DOI10.1080/03610910903168603zbMath1182.62135OpenAlexW1966951118MaRDI QIDQ3652735

Laura Ferreira, David B. Hitchcock

Publication date: 16 December 2009

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910903168603

zbMATH Keywords

cluster analysismisspecificationperiodic functionscluster sizes

Mathematics Subject Classification ID

Related Items (10)

Targeted advertising in the public transit network using smart card data ⋮ Equity markets’ clustering and the global financial crisis ⋮ Robust multivariate functional discriminant coordinates ⋮ A self-organizing clustering algorithm for functional data ⋮ Comparison of hierarchical cluster analysis methods by cophenetic correlation ⋮ Performance of Rand's C statistics in clustering analysis: an application to clustering the regions of Turkey ⋮ Functional data clustering via hypothesis testing \(k\)-means ⋮ Benchmarking different clustering algorithms on functional data ⋮ Benchmarking distance-based partitioning methods for mixed-type data ⋮ Band depth based initialization of K-means for functional data clustering

Uses Software

• R

Cites Work

• Unnamed Item
• On the equivalence of Cohen's kappa and the Hubert-Arabie adjusted Rand index
• Locally lattice sampling designs for isotropic random fields
• Functional data analysis.
• 391: A Monte Carlo Comparison of Six Clustering Procedures
• Model-Based Gaussian and Non-Gaussian Clustering
• The effect of pre-smoothing functional data on cluster analysis
• CATS

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