Quantum genetic algorithm based clustering approach

Clustering is one of the important technologies of data mining and an unsupervised pattern recognition technology. For which, a clustering approach based on quantum genetic algorithm is proposed. It transforms clustering problem into cluster center optimization problems, realizes clustering through quantum genetic algorithm evolution computation. Compared with other clustering algorithms, simulation results show that, the approach can obtain better clustering results and is feasible.