Research on a Clustering Algorithm Based on Generalized Quantum Particle Model and its Convergence
基于广义量子粒子模型的聚类算法及收敛性研究

A novel generalized quantum particle model(GQPM) was presented for data self-organizing clustering.In this model the data clustering process is transformed into a stochastic self-organizing process of the quantum particles in the state configuration space.The state configuration will evolve to a stationary probability distribution,and thus the optimal state configuration on particles can be obtained from the state configuration which has the highest probability in the stationary probability distribution.The...