| 基于距离系数的改进统计量研究 |
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| 引用本文： | 周劲,董吉文,潘玉奇. 基于距离系数的改进统计量研究[J]. 计算机工程与设计, 2006, 27(8): 1321-1323,1368 |
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| 作者姓名： | 周劲 董吉文 潘玉奇 |
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| 作者单位： | 济南大学,信息科学与工程学院,山东,济南,250022 |
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| 摘 要： | 距离系数是传统聚类分析方法中常用的相似程度统计量。在该系数的基础上,提出了一种既能考虑到样本之间的值贴近程度,又能考虑到样本之间的形贴近程度的改进统计量——贴近度,并将其应用到实际样本数据的聚类分析中。实例表明该统计量应用于传统聚类分析是有效的。
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| 关 键 词： | 聚类分析 统计量 贴近度 模糊关系矩阵 谱系图 |
| 文章编号： | 1000-7024（2006）08-1321-03 |
| 收稿时间： | 2005-01-19 |
| 修稿时间： | 2005-01-19 |
Research of improved statistic based on distance parameter |
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| ZHOU Jin,DONG Ji-wen,PAN Yu-qi. Research of improved statistic based on distance parameter[J]. Computer Engineering and Design, 2006, 27(8): 1321-1323,1368 |
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| Authors: | ZHOU Jin DONG Ji-wen PAN Yu-qi |
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| Affiliation: | School of Information Science and Engineering, Jinan University, Jinan 250022, China |
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| Abstract: | A new statistic named similar degree is formulated by combining two kinds of statistic-distance factor and similarity factor. Because of including two parameters, value parameter and shape parameter, the new statistic could describe not only the degree of value similarity, but also the degree of shape similarity between two swatches. Based on this new statistic, the actual data is analyzed. The expermental result shows the new statistic is effective. |
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| Keywords: | cluster analysis statistic similar degree fuzzy relation matrix pedigree chart |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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