Clustering of seasonal events: A simulation study using circular methods

DOI10.1080/03610918.2017.1367805OpenAlexW2745348637MaRDI QIDQ5085083

Paul H. Whitfield

Publication date: 29 June 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2017.1367805

zbMATH Keywords

clusteringfloodscircular methodsseasonal events

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• mclust
• R
• movMF
• pdfCluster
• Tsclust
• clusfind
• CEC

Cites Work

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• Estimating the Number of Clusters in a Data Set Via the Gap Statistic
• Cross-entropy clustering
• Kernel estimators of density function of directional data
• A global averaging method for dynamic time warping, with applications to clustering
• A Monte Carlo study of thirty internal criterion measures for cluster analysis
• On fuzzy clustering of directional data
• On maximum likelihood estimation of the concentration parameter of von Mises-Fisher distributions
• Statistical Analysis of Circular Data
• Testing for a Pulse in Seasonal Event Data
• Finding Groups in Data
• A Note on Circular Nonparametrical Classification
• Further Results on Lund's Statistic for Identifying Cluster in a Circular Data Set with Application to Time Series
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Cluster analysis for directional data
• Least circular distance regression for directional data
• Optimality of Equal vs. Unequal Cluster Sizes in Multilevel Intervention Studies: A Monte Carlo Study for Small Sample Sizes

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