| 一种改进聚类分析方法在数据预处理中的应用 |
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| 引用本文： | 钟波,肖智.一种改进聚类分析方法在数据预处理中的应用[J].西南师范大学学报(自然科学版),2002,27(5):658-663. |
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| 作者姓名： | 钟波 肖智 |
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| 作者单位： | 1. 重庆大学数理学院,重庆,400044
2. 重庆大学工商管理学院,重庆,400044 |
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| 摘 要： | 在通常的聚类分析方法的基础上，提出了一种改进聚类分析方法，并运用于数据源中缺损数据的修补，案例示算结果显示，该方法比传统的数据预处理方法更合理，置信度更大。
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| 关 键 词： | 聚类分析方法 数据预处理 数据修补 数据源 数据缺损 置信度 |
Application of Compositive Clustering Analysis Methods in Data Preprocessing |
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| ZHONG Bo ,XIAO Zhi College of Mathematics and Physics,Chongqing University,Chongqing ,China, College of Business Administration,Chongqing University,Chongqing ,China.Application of Compositive Clustering Analysis Methods in Data Preprocessing[J].Journal of Southwest China Normal University(Natural Science),2002,27(5):658-663. |
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| Authors: | ZHONG Bo XIAO Zhi College of Mathematics and Physics Chongqing University Chongqing China College of Business Administration Chongqing University Chongqing China |
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| Institution: | ZHONG Bo 1,XIAO Zhi 2 1 College of Mathematics and Physics,Chongqing University,Chongqing 400044,China, 2 College of Business Administration,Chongqing University,Chongqing 400044,China |
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| Abstract: | The problem of defective data often arises during the course of mining data. Thus data preprocessingis necessary. On the basis of traditional cluster analysis methods, this paper attempts to present a compositive clustering analysis method which is employed to remedy lost data in data source. The result of calculationson mass data shows that this method is more reasonableand believablecompared with traditional datapreprocessing methods. |
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| Keywords: | defective data data preprocessing data remedying clustering analysis |
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