Description: 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. Platform: |
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Description: C++中的ISODATA算法示例，ISODATA算法是一种基于统计模式识别、经典的动态聚类算法，有较强的实用性。ISODATA算法不仅可以通过调整样本所属类别完成样本的聚类分析，而且可以自动地进行类别的“合并”和“分裂”，从而得到类数比较合理的聚类结果。 -C++ examples of ISODATA algorithm, ISODATA algorithm is based on statistical pattern recognition, a classic of the dynamic clustering algorithm, there are more practical. ISODATA algorithm can not only by adjusting the samples to complete the class cluster analysis of samples, and can automatically type of " merger" and " split" in order to get a few more reasonable type of clustering results. Platform: |
Size: 11264 |
Author:994 |
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Description: C++中的ISODATA算法示例，ISODATA算法是一种基于统计模式识别、经典的动态聚类算法，有较强的实用性。ISODATA算法不仅可以通过调整样本所属类别完成样本的聚类分析，而且可以自动地进行类别的“合并”和“分裂”，从而得到类数比较合理的聚类结果。
-C++ examples of ISODATA algorithm, ISODATA algorithm is based on statistical pattern recognition, a classic of the dynamic clustering algorithm, there are more practical. ISODATA algorithm can not only by adjusting the samples to complete the class cluster analysis of samples, and can automatically type of " merger" and " split" in order to get a few more reasonable type of clustering results. Platform: |
Size: 11264 |
Author:jiangjihai |
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