| 模糊聚类在股票投资中的应用 |
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| 引用本文： | 李毅.模糊聚类在股票投资中的应用[J].电脑与微电子技术,2014(19):3-8. |
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| 作者姓名： | 李毅 |
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| 作者单位： | 上海海事大学信息工程学院,上海201306 |
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| 摘 要： | 聚类分析即将一组事物根据其性质上亲疏远近的程度进行分类,把性质相近的个体归为一类,使得同一类中的个体具有高度的同质性,不同类之间的个体具有高度的异质性。模糊聚类分析是现今模糊理论应用最广泛和最富成果的技术之一。阐述模糊聚类的理论,以部分石油股票为例,抽取影响石油股票收益因素的数据,利用最大最小法建立相似矩阵,用传递闭包法作出聚类分析,并进行总结。
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| 关 键 词： | 模糊聚类序 相似矩阵 模糊等价矩阵 |
Application of Fuzzy Clustering in the Stock Investment |
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| Authors: | LI Yi |
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| Affiliation: | LI Yi (College of Information Engineering, Shanghai Maritime University, Shanghai 201306) |
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| Abstract: | Cluster analysis is the task of grouping a set of objects in accordance with their features so that objects in the same group are more similar to each other than to those in other groups. Fuzzy cluster analysis is one of the technologies, which fuzzy theory is widest applied to with greatest achievement. Illustrates theories of fuzzy clustering, takes petroleum stocks as an example, extracts data affecting the stock profits, builds up similarity matrix through max-min algorithm, and draws a conclusion after cluster analysis via transitive closure. |
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| Keywords: | Fuzzy Clustering Similarity Matrix Fuzzy Equivalent Matrix |
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