KHOPCA clustering algorithm

KHOPCA is an adaptive <a href="/facts/Clustering_algorithm/HUeDnWPt">clustering algorithm</a> originally developed for dynamic networks. KHOPCA (
 
 
 
 k
 
 
 {\textstyle k}
 
-hop clustering algorithm) provides a fully <a href="/facts/Distributed_computing/o5nyhqTF">distributed</a> 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 <a href="/facts/Wireless_sensor_network/r5LIAVsU">wireless sensor networks</a>, KHOPCA can be used in localization and navigation problems, networked <a href="/facts/Swarm_intelligence/fI8461G4">swarming</a>, and real-time <a href="/facts/Cluster_analysis/HUeDnWPt">data clustering and analysis</a>.

KHOPCA clustering algorithm open-in-new

KHOPCA clustering algorithm