KHOPCA clustering algorithm: Difference between revisions

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[[File:Example 1 KHOPCA.png|thumb|A KHOPCA transition for the given start configuration until termination.]]
'''KHOPCA''' is a [[clustering algorithm]] designed for dynamic networks. KHOPCA provides a fully [[Distributed computing|distributed]] and localized approach to group elements such as nodes in a network according to their distance to each other.<ref>{{Cite journal|last=Brust|first=Matthias R.|last2=Frey|first2=Hannes|last3=Rothkugel|first3=Steffen|date=2007-01-01|title=Adaptive Multi-hop Clustering in Mobile Networks|url=http://doi.acm.org/10.1145/1378063.1378086|journal=Proceedings of the 4th International Conference on Mobile Technology, Applications, and Systems and the 1st International Symposium on Computer Human Interaction in Mobile Technology|series=Mobility '07|___location=New York, NY, USA|publisher=ACM|pages=132–138|doi=10.1145/1378063.1378086|isbn=9781595938190}}</ref><ref name=":0">{{Cite journal|last=Brust|first=Matthias R.|last2=Frey|first2=Hannes|last3=Rothkugel|first3=Steffen|date=2008-01-01|title=Dynamic Multi-hop Clustering for Mobile Hybrid Wireless Networks|url=http://doi.acm.org/10.1145/1352793.1352820|journal=Proceedings of the 2Nd International Conference on Ubiquitous Information Management and Communication|series=ICUIMC '08|___location=New York, NY, USA|publisher=ACM|pages=130–135|doi=10.1145/1352793.1352820|isbn=9781595939937}}</ref> KHOPCA (<math display="inline">k</math>-hop clustering algorithm) operates proactively through a simple set of rules that defines clusters, which are optimal with respect to the applied distance function.
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== References ==
{{Reflist}}
 
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