A genetic algorithms based mercer kernel clustering method

作者：Zhou Lin Feng; Ding Yong Sheng

来源：Pattem Recognition and Aitificial Intelligence, 2006, 19(3): 307-311.

Based on Mercer kernel function theorem and genetic algorithms, a novel genetic algorithms based mercer kernel clustering method is proposed. Using Mercer kernel function, an elegant way to map the input space nonlinearly to the high dimensional feature space is gotten, which manifests the feature differences of samples, so that it not only gets more accurate clustering results but also speeds up the convergence rate of the algorithm. And, integrated with genetic algorithm, it can overcome the problem of local minima. Simulation experiments and an application to the objective evaluation of textile products verify its feasibility and effectiveness.

• 出版日期2006