| 基于聚类分析的Web信息搜索算法研究 |
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| 引用本文： | 刘顺来. 基于聚类分析的Web信息搜索算法研究[J]. 广东电脑与电讯, 2007, 0(6): 53-56 |
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| 作者姓名： | 刘顺来 |
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| 作者单位： | 广州航海高等专科学校计算机与信息工程系,广东,广州,510725 |
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| 摘 要： | 本文分析了Web信息搜索中的Leader算法其聚类结果中可能存在重叠区域;k-means算法其k参数的确定可能需要多次尝试。结合上述二种聚类分析算法提出将Leader算法和k-means算法融合可以同时解决上述问题,且在实际的Web信息搜索中更能体现聚类分析的优势。
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| 关 键 词： | Web信息搜索 Leader算法 k-means算法 |
The Web Information Search Algorithm Research Based on Cluster Analysis |
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| Liu Shunlai. The Web Information Search Algorithm Research Based on Cluster Analysis[J]. Computer & Telecommunication, 2007, 0(6): 53-56 |
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| Authors: | Liu Shunlai |
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| Affiliation: | Software Institute Guangzhou Maritime College, Guangzhou 510725, Guangdong |
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| Abstract: | Analyzes Web in the information search in the Leader algorithm its cluster result possibly to have the overlap region;k-means algorithm its k parameter determination possibly needs to attempt many times.Unifies above two kind of cluster parsing algorithm to propose may simultaneously solve the Leader algorithm and the k-means algorithm fusion the above question,also can manifest the cluster analysis in the actual Web information search the superiority. |
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| Keywords: | web information search leader algorithm k-means algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
