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matlab programming for clustering pam , k-means , dbscan , optics for image segmentation
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谱聚类算法进行图像分割，该算法应用MATLAB运行。-Spectral clustering algorithm for image segmentation, the algorithm is applied to run MATLAB.
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基于MATLAB实现的谱聚类算法，用于图像分割-MATLAB-based implementation of the spectral clustering algorithm for image segmentation
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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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四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separatio
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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 imag
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applied k means clustering for vector quanta and
used huffman for image compression matlab code
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code for image clustering using k-means
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本程序包括：论文SVM 用于基于块划分特征提取的图像分类，和相应的matlab实现其中图像划分以及特征提取、聚类均利用matlab6.5完成。
-The procedures include: paper by SVM for feature extraction based on block classification, and the corresponding realization of one image into matlab, and feature extraction,
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The program is designed to graduate when I do, is to use ant colony clustering algorithm for image segmentation procedure, for the ordinary image processing with the MRI images, good results!
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基于FCM的图像分割算法，先对图像平滑，然后利用FCM对像素聚类，实现对图像的分割。-A methord based on FCM for image segmenting,firstly,using filter to smooth the image and the use the rule of FCM clustering pix finshing image segmention
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This paper presents a new approach to image segmentation using Pillar K-means algorithm. This
segmentation method includes a new mechanism for grouping the elements of high resolution images in order to
improve accuracy and reduce the computation
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External Patch Prior Guided Internal Clustering for Image Denoising源码-External Patch Prior Guided Internal Clustering for Image Denoising
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Kmean clustering for image segmentation
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利用模糊聚类的方法对图像分割,效果不错,就是速度慢得很-By using the method of fuzzy clustering for image segmentation, the effect is good, speed is very slow
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By using the method of fuzzy clustering for image segmentation, the effect is good, speed is very slow
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THIS KMEANS CLUSTERING FOR IMAGE....
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spectral clustering for image segmentation.
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K means clustering for image.
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Ensemble clustering for image
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