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模糊核聚类及几篇文章,用于数据和图像的模糊聚类分割,效果还行-nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK
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模糊Fcm代码,在matlab下开发,用c划分聚类进行数据分析-Fuzzy FCm code, developed in matlab with c divided into clustering for data analysis
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基于VC的各种聚类和分类算法程序。
手写数字或者打开已有的手写数字图像后,在右视图空白处,单击鼠标左键,激活右视图,选择菜单中的各种分类算法,可以对手写数字进行分类。有模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器。
在左视图上单击鼠标左键,可获得3种数据源:标准数字聚类、手画图形聚类、位图文件分析聚类。可以进行特征提取、模糊聚类和遗传算法。-VC-based clustering and classification algorithm for a
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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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在matlab开发环境中,使用模糊C均值聚类的方法对数据进行聚类-In the Matlab development environment, the use of fuzzy C-means clustering methods for data clustering
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FCM模糊聚类,用于对数据进行分类,能达到较好效果-FCM fuzzy clustering for data classification, can achieve better results
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用于高维数据或者多维图像的模糊C均值聚类算法-Used for army fuzzy c-means clustering high-dimensional data
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Fuzzy clustering algorithms like the popular fuzzy c-means algorithm (FCM) are
frequently used to automatically divide up the data space into fuzzy granules. When the fuzzy clusters are used to derive membership functions for a fuzzy rule-based syst
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FCM算法是一种基于划分的聚类算法,它的思想就是使得被划分到同一簇的对象之间相似度最大,而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进,普通C均值算法对于数据的划分是硬性的,而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。(The FCM algorithm is a partition-based clustering algorithm. Its idea is to make the similarity among the obj
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