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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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K means clustering of data implemented for all kinds of data-K means clustering of data implemented for all kinds of data...
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聚类方法中的K-means实现,用matlab语言实现的聚类-Clustering of K-means implementation of the cluster with matlab language
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模式识别中的K均值聚类分析方法,该方法力偶那个迭代过程来进行处理,一步步逼近结果-Pattern Recognition Analysis of K-means clustering method Couple iterative process to deal with that, step by step approach results
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K均值聚类的一个实例,附上.dat文件和程序以及运行结果,和大家一起讨论,-K means clustering of an example, attached. Dat files and programs, and operating results, and we can discuss, Oh
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k-means 聚类方法,用c++实现。-k-means,a method of clustering, implemented in c plus plus language.
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用matlab实现K均值聚类算法,里面有详细的英文备注和举例,可以看明白-Achieved using K means clustering algorithm matlab
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聚类算法:聚类分析是指事先不了解一批样品中的每一个样品的类别
基于k均值聚类学习算法的rbf神经网络实现-Clustering algorithm: cluster analysis is the prior knowledge of each batch of samples in the sample of category learning algorithm based on k means clustering of rbf neural network
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K-means算法是最为经典的基于划分的聚类方法,是十大经典数据挖掘算法之一。K-means算法的基本思想是:以空间中k个点为中心进行聚类,对最靠近他们的对象归类。通过迭代的方法,逐次更新各聚类中心的值,直至得到最好的聚类结果。-K-means algorithm is based on the division of the classic clustering method, is ten classic one of data mining algorithm. K-means the
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通过核 K- 均值聚类的方法对语音帧进行聚类 , 由于聚类的中心能够很好地代表类内的特征, 用中心样本帧取代该类, 减少了核矩阵的维数, 然后再采用稀疏 KPCA方法对核矩阵进行特征提取。-Through the nuclear K-means clustering method for clustering of speech frames, the cluster center can be a good representative of the class characteristics
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经过一周的深入学习和参考本站的资料,对K均值进行了改进。可以针对简单的二维的矩阵进行任意中心个数的聚类,并且能够生成图像。-K-means clustering experiments
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实现了一个聚类CMI算法,对给定一个数据集,按要求将其划分为三个类,并计算其分类的效率,并给出一定的结果比较及输出-It s a K-Means clustering algorithm
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K均值聚类算法-适用于裁判打分等经典分类,适合初学者-K-means clustering algorithm- classical classification applies to the referee scoring for beginners
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K均值算法使用的聚类准则函数的误差平方和准则,通过反复迭代优化聚类结果,使所有样本到各自所属类别的中心的距离平方和达到最小。-K-means clustering algorithm uses squared error criterion function and criteria through iterative optimization clustering result, all the samples to the respective classes of the center s
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关于K-means聚类的算法描述,原创,包含有大量训练和测试数据-About K-means clustering algorithm descr iption, originality, contains a large number of training and test data
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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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This AI program K Means Clustering-This is AI program K Means Clustering
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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 can be entered free initial cluster centers and their coordinates.
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一个关于matlab在K均值聚类方法中的应用程序包,可运行,包含一个函数文件、一个可执行文件和一个数据文件。希望有所帮助!-a code package about K-means clustering method on matlab,including one function files,a run files and one data file.it is helpful.
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此代码为matlab代码,分为两个部分。第一部分实现K均值聚类算法应用它来压缩图像。在第二部分中,你将使用主成份分析法pca来实现人脸图像的低维表示。
-This code for the matlab code, is divided into two parts. The first part of the implementation of the K means clustering algorithm to compress the image. In the second par
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