| 多阈值BIRCH聚类算法及其应用 |
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| 引用本文： | 邵峰晶,张斌,于忠清.多阈值BIRCH聚类算法及其应用[J].计算机工程与应用,2004,40(12):174-176,195. |
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| 作者姓名： | 邵峰晶 张斌 于忠清 |
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| 作者单位： | 1. 青岛大学信息工程学院,青岛,266071
2. 青岛大学软件技术研究所,青岛,266071 |
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| 摘 要： | BIRCH算法是针对大规模数据集的聚类算法。文章针对该算法在聚类精度和效率方面存在的不足,在原有算法的基础上进行了改进,提出了可变多阈值聚类特征树方法,实现了基于该方法的聚类分析器,最后将该算法应用于图像分割技术当中,验证算法的有效性。
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| 关 键 词： | 簇 聚类特征 聚类特征树 B+树 条目 |
| 文章编号： | 1002-8331-(2004)12-0174-03 |
BIRCH Clustering Algorithm with Mult_Threshold |
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| Shao Fengjing,Zhang Bin,Yu Zhongqing.BIRCH Clustering Algorithm with Mult_Threshold[J].Computer Engineering and Applications,2004,40(12):174-176,195. |
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| Authors: | Shao Fengjing Zhang Bin Yu Zhongqing |
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| Affiliation: | Shao Fengjing 1 Zhang Bin 1 Yu Zhongqing 21 |
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| Abstract: | BIRCH algorithm is a clustering algorithm for very large datasets.Considering the imperfections of clustering precision and clustering efficiency which exist in the BIRCH algorithm,this paper presents an ameliorated solution,clus-tering the data objects with convertibility mult_threshold CF-tree,and realizes the clustering analysis.Finally,the algo-rithm is used in image segmentation and proved efficiently. |
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| Keywords: | Cluster Clustering Feature CF-tree B+tree Entry |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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