Gustafson-Kessel algorithm for evolving data stream clustering
Olga Georgieva, Dimitar Filev · Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing · 2009
A simplified clustering algorithm that enables on-line partitioning of data streams is proposed. The algorithm applies adaptive-distance metric to identify clusters with different shape and orientation. It is applicable to a wide range of practical evolving system type applications as diagnostics and prognostics, system identification, real time classification, and process quality monitoring and control.