KHOPCA 3D Example 1
KHOPCA is an adaptive clustering algorithm originally developed for dynamic networks. KHOPCA (k-hop clustering algorithm) provides a fully Distributed computing, distributed and localized approach to group elements such as nodes in a network according to their distance from each other. KHOPCA operates proactively through a simple set of rules that defines clusters, which are optimal with respect to the applied distance function. KHOPCA's clustering process explicitly supports joining and leaving of nodes, which makes KHOPCA suitable for highly dynamic networks. However, it has been demonstrated that KHOPCA also performs in static networks. Besides applications in ad hoc and wireless sensor networks, KHOPCA can be used in localization and navigation problems, networked Swarm intelligence, swarming, and real-time Cluster analysis, data clustering and analysis. Algorithm description KHOPCA (k-hop clustering algorithm) operates proactively through a simple set of rules that defines ...
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