A deep cascade neuro fuzzy system for high dimensional online fuzzy clustering
A deep cascade system (based on neuro fuzzy nodes) and its online learning procedure are proposed in this paper. A number of layers can grow unlimitedly during a self learning procedure. The system is based on nodes of a special type. A goal function of a special type is used for probabilistic high dimensional fuzzy clustering. To assess a clustering quality of data processing, a neuron's architecture of a special type is introduced.
2016 IEEE First International Conference on Data Stream Mining Processing (DSMP)