Constrained clustering of irregularly sampled spatial data

DOI10.1080/0094965031000099131zbMath1040.62044OpenAlexW2141940199MaRDI QIDQ4453885

Jian Huang, Yudi Pawitan

Publication date: 7 March 2004

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/0094965031000099131

zbMATH Keywords

segmentationDelaunay triangulationpermutation testDirichlet tesselationclimatologyseeded region growing

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to environmental and related topics (62P12)

Uses Software

• TRIPACK

Cites Work

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• Estimating the Number of Clusters in a Data Set Via the Gap Statistic
• Finding Groups in Data
• Picture Segmentation by a Tree Traversal Algorithm
• Model-Based Gaussian and Non-Gaussian Clustering
• Algorithm 751: TRIPACK

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