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K-means聚类方法，用于将不同的类分开-K-means clustering method is used to separate the different classes
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一种k-means聚类算法的图像分割例程，很好用。里面包括主函数和子函数的m文件以及使用的图片。-One kind of k-means clustering image segmentation algorithm routines, very good use. Which includes the main functions and subroutines m documents and pictures used.
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这是k-means聚类算法的matlab仿真实现,程序中分别有二维控件和三维空间基于k-means的聚类demo-This is k- means clustering algorithm of matlab simulation implementation, respectively in the program have two-dimensional controls and three-dimensional space based on k- means cluster demo
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图像处理，C++环境下的k-means聚类算法，实现图像分割-Image processing, k-means clustering algorithm C++ environment, image segmentation
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k均值聚类算法，自动产生一组数，并进行聚类，稍作修改可用于机器学习等方面使用-k-means clustering algorithm to automatically generate a set of numbers, and clustering, minor modifications can be used in other aspects of the use of machine learning
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k-means聚类算法 用C++实现 聚类采用数据为二维数据 保存在当前目录下的data.txt文件中-K-means clustering algorithm C++ implementation
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K均值聚类方法，用于图像处理，图像分割，提取不同特征。-K-means clustering method
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运用k_means 聚类算法 对图像进行分类识别 c语言代码-Using k means clustering algorithm for image classification to identify c language code
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K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。-K-means clustering algorithm is hard, is a typical prototype-based clustering method objective function representative, which is a method of data points to a certain d
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该代码实现了k-means聚类算法对图像的分类处理，同时通过RMSE和准确性对比对技术的表现和准确度进行了测试-The code implements the k-means clustering algorithm to classify the image. At the same time, the performance and accuracy of the technique are tested by RMSE and accuracy comparison.
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K-means聚类算法以及代码实现
K-means聚类算法以及代码实现-K-means clustering algorithm and code implementation K-means clustering algorithm and code implementation
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K-means聚类算法的matlab代码。-MATLAB code for k-means clustering algorithm.
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K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the
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k-means算法对irisdata数据集进行聚类(The k-means algorithm clustering the irisdata datasets)
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用k-means算法对图像进行聚类，适合于初学者(K-means algorithm for clustering images, suitable for beginners)
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K-means，PSOKM，ACKM三种聚类算法，数据集适用于K-means，在PSO上效果不好，AC有改进(Including K-means, PSOKM, ACKM three clustering algorithms, the data set applies to K-means, clustering on PSOKM is not good, clustering in ACKM has improved.)
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K-均值聚类算法。可自由输入初始聚类中心的个数和其坐标。(K- means clustering algorithm. The number of initial cluster centers and its coordinates can be freely entered.)
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此代码可以对图像很好的聚类，文件里面有原始图像，也有聚类后的图像，聚类的效果挺好的，大家可以看看(This code can make a good clustering of images. In the file, there are original images, and there are also images of clustering. The effect of clustering is good. You can have a look at it)
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Andrew Ng Cousera 机器学习K-means勇于图像压缩 以及主成分分析PCA用在人脸识别，源代码以及说明文档。(Andrew Ng Cousera machine learning , the K-means clustering algorithm and apply it to compress an image. In the second part, you will use principal component analysis to find a low-dime
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K-means clustering algorithm
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