To study the application of fuzzy cluster analysis for medical image data mining.
研究模糊聚类分析在医学图像数据挖掘中的应用。
The learning algorithm and the characteristics of the fuzzy rules model which can approximate the experiment data are shown to converge to any arbitrary accuracy by the theoretical analysis.
理论分析说明这种模糊规则后件参数学习算法是收敛的、所建模糊模型能够以要求的精度逼近已知的实验数据。
NAA data are further analyzed using fuzzy cluster analysis to obtain a fuzzy cluster trend diagram.
将这批NAA数据进行模糊聚类分析，得到动态模糊聚类分析图。
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