The Research of Handwritten Digit Cluster Based on Artificial Bees Colony Algorithm
Abstract: Handwritten digit cluster is an important study of pattern recognition, because of the application of traditional evolutionary algorithm for clustering analysis of handwritten digit has much more problems, such as slow convergence, easily fall into local optimization and so on. To overcome those problems, we present a novel approach to solve the problem of digital clustering by using artificial bees colony algorithm, and propose 3 kinds of operators for bees’ location of updating, and establish a dynamic update of 3 operators in formulas. Finally we elaborate the concrete steps of handwriting digital cluster by using this approach. We do the simulation experiments with some typical handwritten digital instances. Experiments show that our approach can make a good implementation of handwriting digital cluster, overcome the phenomenon of pre- mature convergence, and accelerate the convergence rate in a way.
文章引用: 王光彪 , 杨淑莹 , 冯帆 , 王博凯 , 贾紫娟 , 朱光 (2011) 基于人工蜂群算法的手写数字聚类研究。 光电子， 1， 33-38. doi: 10.12677/oe.2011.12007
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