搜索资源列表
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基于蚁群算法的模糊C均值聚类医学图像分割方法的研究,Ant colony algorithm based on Fuzzy C-Means Clustering Method for Medical Image Segmentation
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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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模糊聚类算法的实现，用c语言实现，有测试内容，附有测试文件-The realization of fuzzy clustering algorithm, using c language implementation, there are contents of the tests with a test file
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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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通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
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FCM 模糊C均值聚类算法。使用说明：这是一个可以人机交互的FCM算法，首先使用鼠标圈定一个矩形区域，则算法自动施加于目标区域:) Have Fun :)-FCM fuzzy C means clustering algorithm. Usage: This is a can of HCI FCM algorithm, the first to use the mouse a rectangular area delineation, the algorithm automatically im
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模糊均值聚类FCM算法对图像的颜色聚类 进行图像分割 聚类个数和聚类中心都是事先决定的-Fuzzy-means clustering algorithm FCM clustering for color image segmentation and clustering the number of cluster centers are determined in advance
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模糊C均值聚类的MATLAB程序，有详细中文注释，对初学者很有帮助。-Fuzzy C-means clustering of the MATLAB program, a detailed English notes, very helpful for beginners.
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模糊c均值聚类算法对遥感图像分类，可自己进行修改-Fuzzy c means clustering algorithm for remote sensing image classification can be modify their
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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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fuzzy - demo, numerial detection fuzzy clustering -fuzzy- demo, numerial detection fuzzy clustering
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模糊C均值聚类算法处理的图像分割，模糊C均值聚类算法处理的图像分割-An image segmentation method via fuzzy c-means clustering with edge and texture information is proposed. it uses the weighting fuzzy c-mean clustering algorithm to fast implement the segmentation procedure.
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模糊C均值聚类算法工具箱
总有一种程序适合你-Fuzzy C-means clustering algorithm toolbox there a program for you
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加入邻域信息的空间模糊c均值聚类算法的代码。-Join neighborhood information, spatial fuzzy c-means clustering algorithm code.
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实现了模糊聚类算法，能将N个样本分成C类（1《C《N）-Fuzzy C-means Clustering
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模糊C均值聚类（FCM），即众所周知的模糊ISODATA，是用隶属度确定每个数据点属于某个聚类的程度的一种聚类算法。-Fuzzy C means clustering (FCM), known as fuzzy ISODATA, is used to determine membership of each data point belongs to a cluster of a clustering algorithm level.
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算法目的：通过模糊c-均值（FCM）聚类实现图像的分割-Algorithm Objective: fuzzy c-means (FCM) clustering for image segmentation
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k均值算法是模式识别的聚分类问题，采用模糊C均值对数据集data聚为cluster_n类 -k-means algorithm is a pattern recognition poly classification,by using Fuzzy C-Means data sets, data gathered cluster_n class
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模糊C均值聚类算法用于图像分割，可以直接应用-Fuzzy C-means clustering algorithm for image segmentation, can be directly applied
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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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