文件名称:ISODATA
- 所属分类：
- 人工智能/神经网络/遗传算法
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- [PDF]
- 上传时间：
- 2012-11-26
- 文件大小：
- 100kb
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- 0次
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ISODATA算法是一种基于统计模式识别的非监督学习动态聚类算法，有较强的实用性。介绍了ISODATA算法原理和实现步骤，结合具体算例进行了聚类分析，得到了理想的分类结果，并分析了参数的选取将对分类结果产生的影响。
-ISODATA algorithm is a statistical pattern recognition based on non-supervised learning dynamic clustering algorithm has good practicability. Introduction of the ISODATA algorithm and the realization of these steps, combined with specific examples of cluster analysis, to be an ideal classification results and an analysis of the selected parameters will be the impact of classification results.
-ISODATA algorithm is a statistical pattern recognition based on non-supervised learning dynamic clustering algorithm has good practicability. Introduction of the ISODATA algorithm and the realization of these steps, combined with specific examples of cluster analysis, to be an ideal classification results and an analysis of the selected parameters will be the impact of classification results.
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ISODATA算法的实现与分析.pdf