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Matlab环境下的k-means聚类算法，实现图像分割，很快阿！-K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!
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图像集群（Image Clustering）
(1)图像读入，显示图像所在路径；
(2)采用imgcluster函数进行图像集群，选择集群个数后进行图像集群；
(3)运行后，在原图像上显示集群灰度图；
(4)若要显示各个集群情况，可打开【Show Clustering Image】新窗体，显示各集群类的基于原图的彩绘区域。其中非当前集群范围，则显示灰度为255的黑色。用户可点击按纽上下查看所有集群图。-image cluster (Image Clustering) (1) re
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Application of kmeans clustering algorithm to segment a grey scale image on diferent classes.
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图像分割算法之间的比较，比较前沿的放发，利用了kmeans和模糊K均值,Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans
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K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
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快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation
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基于Kmeans算法的图像分割，一般Kmeans是数据挖掘中用来聚类的，本试验利用图像中的灰度值作为Kmeans算法的原始点，进行图像分割-Kmeans algorithm based on image segmentation, data mining in general Kmeans is used to clustering, the trial use of the image gray value as the original algorithm Kmeans spots for
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这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is the use of k-means clustering algorithm partitions a gray-scale image.
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k-mean image clustering source code developed using java
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Kmeans图像聚类 Kmeans图像聚类 Kmeans图像聚类-Kmeans image clustering Kmeans image clustering Kmeans image clustering Kmeans image clustering Kmeans image clustering
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这是K-means聚类算法的源代码，可实现任意多统计数据的归类处理。代码为原创，用途主要在数理统计方面，而不是常见的图像处理等方面。内附详细的使用说明。-This is the K-means clustering algorithm source code, enabling the classification of any number of statistical data processing. Code for my original, uses mainly in mathemat
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使用K均值做聚类分析来进行图像分割,把原始图像转换到HSV空间做聚类分析-use k-means clustering to segment the image
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K-means algorithm to perform clustering on the pixels of an image
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Title: Image Clutering K-means and Mean Shift) delphi implemetation
Descr iption: This delphi program contains image clustering algorithms K-means and Mean shift. Contains 2 pas file for kmeans and mean shift. by chamika deshan
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彩色图像分割，灰常不错。This function implements kmeans clustering on an input RGB (m x n x 3)
image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this
function will step through an interactive color segmentation using kmeans clustering. It
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该代码能够实现K均值聚类算法对彩色图像分割，在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.
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K-means算法是一种动态聚类方法，这种方法先选择若干样本作为聚类的中心，在按某种聚类准则（通常采用最小距离原则）使各种样本向各个中心积聚，从而得到初始的分类，然后，判断分类的合理性，如果不合理，就修改分类，如此反复的修改聚类的迭代运算，直到合理为止。-K-means algorithm is a dynamic clustering method, this method, select the number of samples as a cluster center in the clu
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he problem of segmenting images of objects with
smooth surfaces is considered. The algorithm we present is a
generalization of the ,K-means clustering algorithm to include
spatial constraints and to account for local intensity variations
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FCM图像聚类分割FCM image clustering segmentation(FCM image clustering segmentation)
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使用kmeans算法实现了彩色图像的颜色聚类(Color image clustering)
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