title: Real-time vector quantization and clustering based on ordinary differential equations.
abstract: This brief presents a dynamical system approach to vector quantization or clustering based on ordinary differential equations with the potential for real-time implementation. Two examples of different pattern clusters demonstrate that the model can successfully quantize different types of input patterns. Furthermore, we analyze and study the stability of our dynamical system. By discovering the equilibrium points for certain input patterns and analyzing their stability, we have shown the quantizing behavior of the system with respect to its vigilance parameter. The proposed system is applied to two real-world problems, providing comparable results to the best reported findings. This validates the effectiveness of our proposed approach.
authors: Department of Computer Science, University of Hawaii, Hilo, HI 96720, USA. chengjie@hawaii.edu
authors: Jie
authors: J
authors: Cheng
authors: Mohammad R
authors: MR
authors: Sayeh
authors: Mehdi R
authors: MR
authors: Zargham
authors: Qiang
authors: Q
authors: Cheng
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D003199:Computer Systems; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated / Q000379:methods*