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一个利用各种聚类算法实现遥感影像分割的程序,包括K均值、ISODATA、模糊C均值等!-use of a clustering algorithm remote sensing image segmentation procedures, including K-means, ISODATA, Fuzzy C - Means, and so on!
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ISODATA算法是一种基于统计模式识别的,非常经典的非监督学习动态聚类算法,有较强的实用性。ISODATA算法不仅可以通过调整样本所属类别完成样本的聚类分析,而且可以自动地进行类别的“合并”和“分裂”,从而得到类数比较合理的聚类结果。-ISODATA algorithm is based on statistical pattern recognition, unsupervised learning is the classic dynamic clustering algorithm
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本源程序为ISODATA聚类算法 可以达到很好的聚类效果-The source code for the ISODATA clustering algorithm can achieve very good clustering results
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本程序主要实现ISODATA聚类算法,可以动态的调整分割的期望份数,效果有了很好的改善-The main achievement of this procedure ISODATA clustering algorithm, can dynamically adjust the partition of the expectations of the shares, the effect has been very good improvement
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ISODATA是模式识别中重要的聚类算法 有着极为广泛的应用-ISODATA is an important pattern recognition clustering algorithm has a very wide range of applications
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模式识别系统聚类中的ISODATE聚类算法程序-Pattern Recognition System ISODATE Clustering Clustering procedures
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vc++6.0+gdal开发的聚类算法的COM组件,可在vb或.Net中直接调用。其中包含的聚类算法有:K-Means,ISODATA等,可对Image影像进行聚类处理。-vc++6.0 development of COM components clustering algorithm can vb or. Net direct call. Which includes the clustering algorithm are: K-Means, ISODATA, etc.
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对图像利用ISODATA与K均值算法进行聚类分析-Clustering analysis for image by ISODATA and K-Mean Algorithm
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比较完善的ISODATA聚类分析。
支持手动选择初始聚类中心,类似监督法分类。
支持8位、24位BMP图像操作。
选用2种ISODATA聚类算法。
聚类结束后可手动修改类别颜色。-A relatively complete ISODATA cluster analysis. Supports manual selection of the initial cluster centers, similar to a law on supervision category. S
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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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基于改进模糊ISODATA算法的遥感影像非监督聚类研究-Algorithm based on improved fuzzy ISODATA unsupervised clustering of remote sensing images
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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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实现了随机点生成、C均值聚类、ISODATA聚类算法,简单易懂-Random point generation C-means clustering, ISODATA clustering algorithm, straightforward
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模式识别类的ISODATA算法的一个实现对生成数据的一个动态聚类,VC++对话框形式,数据参数可调整,-Pattern recognition like an implementation of the ISODATA algorithm to generate a dynamic data the clustering, VC++ dialog box in the form, data parameters adjustable,
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此程序为ISODATA聚类算法的改进,主要是优化了其初始化,其初始化为两类,一类质心为极值最大点,另一类质心为离该质心最远的质心-This procedure is a clustering algorithm for the ISODATA , The original method is improved by the initialization . let a maximum point
as the center of the first class,and let the c
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模式识别中ISODATA算法,采用MFC界面,按照要求输出聚类结果-ISODATA pattern recognition algorithm, using MFC interface, in accordance with the requirements of the output of the clustering results
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一个简单的ISODATA聚类算法的cpp,仅供学习-A simple ISODATA clustering algorithm cpp, only to learn
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isodata聚类算法以及形态学处理,randon变换处理图像分割图像校正和特征字母提取-ISODATA clustering algorithm and morphological processing, randon transform processing image segmentation image correction and feature extraction
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ISODATA聚类实验 模式识别课程实验所用的源程序-ISODATA clustering pattern recognition experiment course source program used in the experiment
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聚类算法,遥感影像分割,包含k means,isodata,模糊c聚类,模糊阈值聚类(clustering algorithm,image segmentation,K means,isodata)
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