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说明：  基于FCM的数据聚类分析及Matlab 实现 戈国华, 肖海波, 张敏 ( 江西理工大学信息工程学院江西赣州341000 ) 【摘要】: 聚类是数据挖掘中常用的数据分析技术。本文详细介绍了FCM聚类算法的理论和实现步骤。并用Matlab 演 示了FCM用于数据聚类。结果表明FCM算法是一种高效的数据聚类算法, 有很广泛的应用。(FCM clustering analysis based on the data and Matlab implementation Ge Guohua, Xiao Haibo, Zhang Min (Institute of Information Engineering, Jiangxi University of Ganzhou, Jiangxi 341000, China) Abstract: Clustering is commonly used in data mining, data analysis techniques. This paper describes the FCM clustering algorithm theory and implementation steps. And demonstrates the use of Matlab for data clustering FCM. The results show that the FCM algorithm is an efficient data clustering algorithm, a very wide range of applications.)

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水平集分割算法，matlab实现。自动初始化方形轮廓线。分割后自对图像上分离的目标进行计数。(Level set segmentation algorithm, implemented by matlab. Automatic initialization square contour. )

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说明：  基于灰度共生举证局部熵方法求图像的分割阈值(Proof based on gray level co local entropy method for solving the segmentation threshold)

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