| 基于SPSS的共现聚类分析参数选择的实例研究 |
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| 引用本文： | 隋明爽,崔雷.基于SPSS的共现聚类分析参数选择的实例研究[J].中华医学图书情报杂志,2016,25(1):52-56. |
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| 作者姓名： | 隋明爽 崔雷 |
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| 作者单位： | 中国医科大学医学信息学院，辽宁 沈阳110001,中国医科大学医学信息学院，辽宁 沈阳110001 |
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| 摘 要： | 以OHSUMED语料库内提供的明确相关提问对为金标准和研究材料，借助BICOMB软件生成主题词-来源文献矩阵和共词矩阵，并获得各种系数的相似（相异）矩阵，对比分析目前国内基于SPSS共现聚类分析过程中主题词-来源文献矩阵与共现矩阵、各种相似性参数和各种类间距离计算方法的聚类效果。结果表明：主题词-来源文献矩阵聚类结果优于共词矩阵，在聚类分析中应优先选择。共词矩阵选择相似系数时应结合实际矩阵数据性质，并注意聚类方法原理上的正确性。
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| 关 键 词： | SPSS 聚类分析 共现分析 相关系数 |
| 收稿时间： | 2015/8/24 0:00:00 |
SPSS-based selection of parameters in co-occurrence clustering analysis: A case study |
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| SUI Min-shuang and CUI Lei.SPSS-based selection of parameters in co-occurrence clustering analysis: A case study[J].Chinese Journal of Medical Library and Information Science,2016,25(1):52-56. |
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| Authors: | SUI Min-shuang and CUI Lei |
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| Institution: | China Medical University Medical Informatics School, Shenyang 110001, Liaoning Province, China and China Medical University Medical Informatics School, Shenyang 110001, Liaoning Province, China |
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| Abstract: | Similar (differential) matrixes of different coefficients were established by generating subject heading-source literature matrix and co-word matrix using the BICOMB software with the OHSUMED-covered related questions as their golden standard and research material. The clustering effects of SPSS-based subject heading-source literature matrix and co-word matrix, similarity parameters and methods of calculating the distance between different matrixes were comparatively analyzed, which showed that the effect of subject heading-source literature matrix is better than that of co-word matrix and should thus be selected in clustering analysis. Similar coefficients should be selected in combination with the practical matrix data properties in co-occurrence analysis. |
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| Keywords: | SPSS Clustering analysis Co-occurrence analysis Related coefficient |
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