| 一种基于DBS的聚类算法 |
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| 引用本文： | 何苗.一种基于DBS的聚类算法[J].重庆职业技术学院学报,2009,18(3):83-85. |
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| 作者姓名： | 何苗 |
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| 作者单位： | 重庆邮电大学传媒艺术学院,重庆,400065 |
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| 基金项目： | 重庆邮电大学自然科学基金 |
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| 摘 要： | 随着网络的普及和信息量的急剧增加，从海量数据中提取有用的数据信息已迫在眉睫。本文提出了一种基于密度偏差抽样的聚类算法，实验表明，随着信息量、数据维数的增加，该算法聚类的正确率以及对数据的处理速度都要较传统的聚类算法有所提高。
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| 关 键 词： | 随机抽样 密度偏差抽样 聚类 算法 |
A New Clustering Algorithm Based on Density Biased Sampling |
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| HE Miao.A New Clustering Algorithm Based on Density Biased Sampling[J].Journal of Chongqing Vocational& Technical Institute,2009,18(3):83-85. |
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| Authors: | HE Miao |
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| Institution: | HE Miao(College of Media-arts,Chongqing University of Posts , Telecommunications,Chongqing 400065,China) |
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| Abstract: | As the popularization of the internet and the quick increase of information,it makes us more difficult to find the useful knowledge from huge data.A new clustering algorithm based on density biased sampling is proposed,and the results of experiments show that the proposed algorithm is indeed better than the old algorithm as the increase of information and data dimensions,such as exactness rate of clustering and speed of deal with the data. |
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| Keywords: | random sampling density biased sampling clustering algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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