| 面向复杂簇的聚类算法研究与实现 |
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| 引用本文： | 孟海东,宋飞燕,宋宇辰.面向复杂簇的聚类算法研究与实现[J].计算机应用与软件,2008,25(10). |
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| 作者姓名： | 孟海东 宋飞燕 宋宇辰 |
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| 作者单位： | 内蒙古科技大学资源与安全工程学院,内蒙古,包头,014010 |
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| 摘 要： | 有效聚类各种复杂的数据对象簇是聚类算法应用干事务对象划分、图像分割、机器学习等方面需要解决的关键技术.在分析与研究现有聚类算法的基础上,提出一种基于密度和自适应密度可达的改进算法.实验证明,该算法能够有效聚类任意分布形状、不同密度、不同尺度的簇;同时,算法的计算复杂度与传统基于密度的聚类算法相比有明显的降低.
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| 关 键 词： | 聚类算法 复杂簇 基干密度 自适应密度可达 |
RESEARCH AND IMPLEMENTATION OF COMPLEX CLUSTER ORIENTED CLUSTERING ALGORITHM |
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| Meng Haidong,Song Feiyan,Song Yuchen.RESEARCH AND IMPLEMENTATION OF COMPLEX CLUSTER ORIENTED CLUSTERING ALGORITHM[J].Computer Applications and Software,2008,25(10). |
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| Authors: | Meng Haidong Song Feiyan Song Yuchen |
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| Affiliation: | Meng Haidong Song Feiyan Song Yuchen(School of Resource , Safety Engineering,Inner Mongolia University of Science , Technology,Baotou 014010,Inner mongolia,China) |
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| Abstract: | For transaction item classification,image segmentation and machine learning,the key technique is to handle complicatedly distributed clusters efficiently.On the basis of the analysis and research of traditional clustering algorithms,a clustering algorithm based on density and adaptive density-reachable is presented.Experimental results show that the algorithm can handle clusters of arbitrary shapes,sizes and densities.At the same time,compared with other density-based algorithms,this algorithm can evidently... |
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| Keywords: | Clustering algorithm Complex cluster Density-based Adaptive density-reachable |
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