目的介绍一种动态模糊聚类算法并利用该算法对磁共振图像进行分割研究。
Objective to introduce a dynamic fuzzy clustering algorithm and use it to do the study of segmentation of the brain in MRI.
提出了一种新的动态模糊自组织神经网络模型(TGFCM)，并将其用于文本聚类中。
This paper proposed a new model of dynamic fuzzy Kohonen neural network (TGFCM), which was applied to the text clustering.
据此。本文应用模糊动态聚类和模式识别相结合的方法，在人机交互解释系统上自动实现微地震相分析。
Hence, micro seismic facies analysis can be successfully achieved using interactive interpretation system plus fuzzy dynamic clustering and pattern recognition.
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