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.

Packet : 19854786isodata.rar filelist
ISODATA算法的实现与分析.pdf

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