K-means聚类算法研究 |
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引用本文: | 华婷婷.K-means聚类算法研究[J].黄山高等专科学校学报,2013(5):17-19. |
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作者姓名: | 华婷婷 |
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作者单位: | 黄山学院机电与信息工程学院,安徽黄山245021 |
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基金项目: | 黄山学院自然科学研究项目(2007xkjq009) |
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摘 要: | 聚类分析是模式识别中一个重要研究领域,是一种将数据划分或分组处理的重要手段和方法.K-means算法是聚类算法中主要算法之一,文章介绍了K-means聚类算法的实现方法,并对其优点和缺点进行了详细的分析.
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关 键 词: | 聚类分析 K-means算法 |
Research on K-means Clustering Algorithm |
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Authors: | Hua Tingting |
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Institution: | Hua Tingting (School of Electromechanical & Information Engineering, Huangshan University, Huangshan245041, China) |
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Abstract: | Clustering, a major filed in pattern recognition, is an important method of data partition or grouping. K-means algorithm is one of the essential clustering algorithms. This thesis mainly introduces the basic knowledge of K-means clustering algorithm and its realization method, and analyses the advantages and disadvantages in detail. |
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Keywords: | clustering K-means algorithm |
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