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很好的模糊聚类算法 用MATLAB编写的-Good fuzzy clustering algorithm using MATLAB prepared
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模糊C－均值聚类算法,使用VC++与matlab 编程两种方法实现算法-Fuzzy C-means clustering algorithm, using VC++ and matlab programming algorithm in two ways
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用Matlab写的FCM算法，包括GUI界面的设计，实现模糊聚类功能。-FCM algorithm is written using Matlab, including the GUI interface design, implementation, fuzzy clustering functionality.
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图像特征提取的总结，用MATLAB模糊聚类算法进行图像分割，阀值分割及特征提取的资料和作业。-Summary of the image feature extraction, fuzzy clustering algorithm using MATLAB for image segmentation, threshold segmentation and feature extraction of data and operations.
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用matlab实现的C均值模糊聚类方法，程序简单易懂，适合初学者学习以及中高级学者在编程时调用，真的非常好用！-Using matlab the C mean fuzzy clustering method, the program is simple to understand for beginners to learn, as well as senior scholars in the programming call, really easy to use!
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利用模糊聚类算法实现图像分割，在matlab环境中实现。-Image segmentation using fuzzy clustering algorithm, implemented in Matlab environment.
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运用C实现了数字图像的一些基本算法，包括canny edge detection,阈值变换，维纳滤波，直方图均衡，图像细化，旋转，图像配准，图像分割kmeans, isodata, fuzzy c means, fuzzy clustering, mrf image seg, 图像浏览，road svm using matlab, snakes matlab, anistropic gaussian filter-Canny edge detection, threshold transform
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模糊C均值聚类(FCM)算法的实现Matlab源码（其中命名为fcm.m的文件为一个完整的应用函数，其余几个文件为分割开使用的单独的函数）适合于研究图像分割算法的同仁们借鉴。-Fuzzy C-means clustering (FCM) algorithm Matlab source code (which is named fcm.m file a complete application functions, the rest is split open several files usin
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程序用matlab实现了模糊c均值聚类问题。将大量数据分成几种类型-Program using matlab realize the fuzzy c-means clustering problem. The large amounts of data into several types of classes
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