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在Visual C++下实现聚类分析在图像识别中的应用。其中包括模糊聚类,遗传算法聚类分析,层次聚类和动态聚类等算法。可以运行,并有分类的源文件。是不错的研究素材。,In Visual C++ Achieve clustering analysis in image recognition applications. Including fuzzy clustering, genetic algorithm for cluster analysis, hierarchical clusterin
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聚类算法的实现,里面包括了聚类的工作原理和相关方法及属性,Clustering algorithm, which includes the working principle of clustering and related methods and properties
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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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实现混合高斯模型的聚类算法 利用最大似然估计和最大期望的方法来实现混合高斯模型-Gaussian mixture model to achieve clustering algorithm using the maximum likelihood estimation and the greatest way to achieve the desired mixed-Gaussian model
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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C-均值(FCM)聚类算法,用MATLAB程序编写。-FCM clustering algorithm
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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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Image thresholding has played an important role in image segmentation. In this paper, we present a novel spatially weighted fuzzy c-means (SWFCM) clustering algorithm for image thresholding. The algorithm is formulated by incorporating the spatial ne
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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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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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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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FLICM一种基于模糊局部信息C均值聚类方法,是对传统FCM聚类方法的最近改进方法,具有更强的鲁棒性,效果明显优于传统算法。-A novel and robust FCM framework for image clustering called Fuzzy Local Information C-means (FLICM) clustering
algorithm.
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矢量量化算法的C语言实现:LBG(K-均值)聚类算法,在欧几里的距离基础上用LBG算法将输入向量聚类。-Vector quantization of C language implementation algorithm:LBG (k-means) clustering algorithm, in several European based on the distance with LBG algorithm will input vector clustering.
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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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一个C-均值聚类算法的代码(基于opencv2.0)-A C-means clustering algorithm code (based opencv2.0)
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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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自己编写的模糊c均值聚类算法MATLAB实现-My preparation of fuzzy C mean clustering algorithm MATLAB implementation
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