搜索资源列表
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C均值模糊聚类，适用于图像分类，此为MATLAB 程序代码。-C mean fuzzy clustering for image classification, this is MATLAB code.
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模糊C均值分类，用于图像处理中 很好用的，极力推荐 -Fuzzy C-means classification, used for image processing in a very good use, and strongly recommend
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将FCM与广义回归网络结合起来实现对iris数据的分类-The FCM and generalized regression networks to achieve the classification of iris data
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这是个FMC分类程序，可以正常运行，并且精确，希望对大家有用-This is a FMC classification procedures can be normal operation, and accurate, useful for all of us hope
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模糊C均值聚类，通过设置不同的灰度，可将彩色图像分成若干区域，达到分类的目的。-Fuzzy C means clustering, by setting different grayscale, color images can be divided into several regions, to achieve the purpose of classification.
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遗传算法+FCM 用于SAR图像分类问题中，讲图分为两类或者三类~~~~~~~~~。-Genetic algorithm is used to SAR+ FCM image classification problem, speak figure divided into two classes or three kinds of ~ ~ ~ ~ ~ ~ ~ ~ ~.
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模糊C均值聚类算法，对图像进行分类，图像处理，多类划分，SAR图像分类-Fuzzy c-means algorithm clustering algorithm, the image classification, image processing, many kinds of division, the SAR image classification
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图像的非监督分类，主要包括K均值、FCM等-Unsupervised classification of images, including K-means, FCM
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FCM一种聚类分类方法，用于自动分类聚类-The FCM a clustering classification for automatic taxonomy
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无监督分类方法，包括kmeans，som和fcm，非常好用-Unsupervised classification methods, including kmeans, som and fcm, very easy to use
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模糊C均值分类，用于图像处理中 很好用的，极力推荐 -Fuzzy C-means classification, used for image processing in a very good use, and strongly recommend
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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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模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最终的分类结果。-Fuzzy C- means algorithm is easy to converge to a local minimum point, in order to overcome this drawback, the genetic algorithm is applied to fuzzy C- me
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高光谱遥感图像处理之数据分类的fcm算法源代码maltlab-Hyperspectral remote sensing image processing data classification of the FCM algorithm source code maltlab
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resonance imaging (MRI) data and estimation
of intensity inhomogeneities using fuzzy logic. MRI intensity
inhomogeneities can be attributed to imperfections in the
radio-frequency coils or to problems associated with the acquisition
sequences
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