A Finite State Machine Approach to Cluster Identification Using the Hoshen-Kopelman Algorithm
The purpose of this study was to develop an efficient finite state machine implementation of the eponymous Hoshen-Kopelman cluster identification algorithm using the nearest-eight neighborhood rule suitable to applications such as computer modeling for landscape ecology. The implementation presented...
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Trace: Tennessee Research and Creative Exchange
2008
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Online Access: | http://trace.tennessee.edu/utk_graddiss/323 |