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免疫规划+K均值混合聚类算法 被引量:2
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作者 行小帅 潘进 焦李成 《计算机科学》 CSCD 北大核心 2003年第4期150-152,158,共4页
A novel Hybrid Clustering Algonthm (HCA) that incorporates the K-means into the canonical immune programming algorithm is proposed after analyzing the advantages and disadvantages of the classical k-means clustering a... A novel Hybrid Clustering Algonthm (HCA) that incorporates the K-means into the canonical immune programming algorithm is proposed after analyzing the advantages and disadvantages of the classical k-means clustering algorithm in the paper. The theory analyse and experimental results show, the algorithm not only avoids the local optima and is robust to imtialization, but also increases the convergent speed, meanwhile evidently restrains the degenerating phenomenon during the evolutionary process. 展开更多
关键词 模式识别 免疫规划 k均值混合聚类算法 全局寻优算法 目标函数
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