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http://dx.doi.org/10.5351/CKSS.2005.12.1.207

Simple Recursive Approach for Detecting Spatial Clusters  

Kim Jeongjin (Department of Mathematics, Myongji University)
Chung Younshik (Department of Statistics, Pusan National University)
Ma Sungjoon (Department of Mathematics, Myongji University)
Yang Tae Young (Department of Mathematics, Myongji University)
Publication Information
Communications for Statistical Applications and Methods / v.12, no.1, 2005 , pp. 207-216 More about this Journal
Abstract
A binary segmentation procedure is a simple recursive approach to detect clusters and provide inferences for the study space when the shape of the clusters and the number of clusters are unknown. The procedure involves a sequence of nested hypothesis tests of a single cluster versus a pair of distinct clusters. The size and the shape of the clusters evolve as the procedure proceeds. The procedure allows for various growth clusters and for arbitrary baseline densities which govern the form of the hypothesis tests. A real tree data is used to highlight the procedure.
Keywords
Bayesian information criterion; binary segmentation procedure; rectangular cluster;
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