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13下载：
K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
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利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文。-Using phase coherence image edge extraction, K-means clustering image after region growing segmentation, attached reference paper.
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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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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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K均值聚类算法 由于对纹理图像使用灰度共生矩阵分割效果不明显 因此该算法使用图像频域进行处理-K-means clustering algorithm because of the texture image segmentation using the gray co-occurrence matrix effect was not obvious, therefore use the algorithm for processing images in frequency domain
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K均值聚类算法 对图像颜色进行聚类 然后对图像分割-K-means clustering algorithm to cluster the color image segmentation and then
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Image segmentation k mean clustering
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k-均值聚类法用于各种图像的聚类、分割问题，希望可以对您有利-k-means clustering method for a variety of image clustering, segmentation
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基于OpenCV和C++的K-means聚类源代码-Based on OpenCV and C++, K-means clustering source code
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利用K均值聚类实现彩色图像分割,效果不错-Color Image segmentation using K-means clustering
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简单的灰度图像的K均值聚类分割，Matlab实现-gray image segmentation using K-means clustering by matlab.
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典型的K均值聚类方法，用matlab编写，有几个文件，大家可以参考参考。-K-means clustering methods typically used matlab write, there are several files, you can refer to the reference.
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台湾大学几位学者写的基于K-均值算法的快速图像分割，用到基于HSV颜色空间的直方图-Fast Image Segmentation Based on K-Means
Clustering with Histograms in HSV Color Space
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KMEANS源代码：k-means 聚类算法 图像处理分割-KMEANS源代码：k-means clustering algorithm for image processing segmentation
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模式识别算法程序 K均值算法
主要是实现了K均值聚类分析算法，能够实现对图像的自动分类和识别。-Pattern recognition algorithm K-means algorithm K-means clustering analysis algorithms can achieve automatic image classification and identification.
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k-means聚类算法的matlab代码
截图的 想用还是自己手打吧-k-means clustering algorithm matlab code screenshot or their own hands to fight it.
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K均值聚类的源代码，是用VC++写的，不错的，供初学者的学习掌握的。-It is a code of K means clustering, written by vc++, and it is good to the novice.
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K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the character
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实现k均值聚类算法，可以使用彩色图像，通过随机初始化聚类中心，完成聚类(The K-means clustering algorithm can use color images to initialize cluster centers randomly and accomplish clustering.)
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该算法主要包含PCA算法和K-Means聚类算法，用于SAR变化检测,包含数据图片。(The algorithm mainly includes PCA algorithm and K-means clustering algorithm for SAR change detection, including data images.)
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