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Description: k均值聚类或者成为均值聚类，用于对各个数据进行分类-k-means clustering or a means clustering for the classification of the various data
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Size: 1024 |
Author: 李岚 |
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Description: 用k-means 做彩色图像分割，分类数可选-Using k-means to do color image segmentation, classification number of optional
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Size: 1024 |
Author: 卢学 |
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Description: K均值算法的matlab代码，使用起来很简单，对于模式识别的效果也很好，初学者也很容易看懂。-K-means algorithm matlab code, very easy to use, for the effect of pattern recognition is also good, beginners can easily understand.
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Size: 55296 |
Author: tang |
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Description: 毕设题目，基于K均值的PSO聚类算法，共享了。-Bi-based topic of the PSO-based K-means clustering algorithm, shared.
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Size: 3072 |
Author: yujin liu |
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Description: k均值图像分割，经典的图像分割方法，算法简单，效果好。-k-means image segmentation
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Size: 1024 |
Author: lixu |
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Description: K均值算法实现图像的分割，分割效果可以达到预期的效果-K-means algorithm to achieve image segmentation, segmentation results can be achieved the desired results
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Size: 47104 |
Author: 赵少敏 |
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Description: 不同于k均值聚类的k中心聚类，2007年SCIENCE文章Clustering by Passing Messages Between Data Points 中的方法-Unlike k-means clustering of the k cluster centers, in 2007 SCIENCE article, Clustering by Passing Messages Between Data Points of the Method
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Size: 16384 |
Author: puguji |
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Description: 使用一种改进的k均值进行图像处理，方便使用-The use of a k-means for improved image processing, user-friendly
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Size: 29696 |
Author: 刘柳 |
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Description: K均值 很好用的K均值代码 -K-means K-means used in a very good code
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Size: 46080 |
Author: shi |
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Description: k-means算法代码
matlab的程序，具体使用说明在函数里面 ：）
附UCI的测试集图片，可以用作VQ的实验-k-means algorithm matlab code of procedure, specific for use inside the function:)
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Size: 866304 |
Author: qiumh |
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Description: CVAP includes 4 External validity indices, 14 Internal validity indices and 5 clustering algorithms (K-means, PAM, hierarchical clustering, SOM and etc.). It supports other clustering algorithms via loading a solution file with class labels, or by adding new codes. And similarity metrics of Euclidean distance and Pearson correlation coefficient are supported.-CVAP includes 4 External validity indices, 14 Internal validity indices and 5 clustering algorithms (K-means, PAM, hierarchical clustering, SOM and etc.). It supports other clustering algorithms via loading a solution file with class labels, or by adding new codes. And similarity metrics of Euclidean distance and Pearson correlation coefficient are supported.
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Size: 258048 |
Author: tra ba huy |
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Description: gabor提取纹理特征，k-means方法无监督聚类进行图像分割-extract texture feature, cluster by k-means
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Size: 64512 |
Author: zhengjuan |
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Description: image segmentation K-means for image of color space RGB-image segmentation K-means for image of color space RGB
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Size: 1024 |
Author: Doris |
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Description: k-nearest neighbour classifier source code
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Size: 1024 |
Author: zeinab |
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Description: alow to segment an image base on the k-means in the color domain using the rgb space.
color segmenation
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Size: 142336 |
Author: moe que |
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Description: A matlab example of k means clustering
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Size: 1024 |
Author: sam |
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Description: k平均聚类所谓k均值聚类方法是一种无监督的学习算法，它能用已知类数的数据聚类和预测。-k-average clustter
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Size: 49152 |
Author: 小屁 |
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Description: fuzzy k-means clutering programe
matlab
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Size: 6144 |
Author: ksse |
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Description: ：DSISoft是由加拿大地质调查局发布的用于垂直地震剖面(VSP)数据处理的免费软件包，其在MATLAB5．0或更高版本下运行。该软件包含有不同标准地震数据的读写、编辑、排序、滤波和其他标准的处理模块。利用MATLAB 图形用户界面编辑器可设计出具有地震剖面显示、频谱分析、F—K滤波、道头信息绘制等功能的交互界面。-DSISoft is published by the Geological Survey of Canada for use in vertical seismic profile (VSP) data processing of free packages, and its MATLAB5.0 or later versions. The software contains different standards of seismic data reading and writing, editing, sorting, filtering and other standard processing modules. The use of MATLAB graphical user interface editor, can be designed with the seismic profiles show that spectral analysis, F-K filtering, Road header information functions such as interactive mapping interface.
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Size: 8185856 |
Author: 徐磊 |
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Description: 将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用-The K means algorithm for image segmentation, the input is a color image, convert to grayscale image segmentation, the output of grayscale images. The use of gray as the characteristics of each pixel clustering, due to light and other reasons, and sometimes should belong to an object pixel, its gray value will also be very different, may lead to clustering of the pixel error has occurred. in the segmentation results, the surface, there would be different from other pixel noise points, so , the algorithm Finally, the results of a median filter to eliminate noise, to the role of smoothing the image
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Size: 335872 |
Author: caoliang |
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