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k-means聚类算法在MATLAB的实现-k-means clustering algorithm in MATLAB implementation of
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K-means is a clustering algorithm
In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K objects in sequence can also serve a
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Implementation of K-means clustering algo in matlab
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this illustration in matlab for k-means clustering-this is illustration in matlab for k-means clustering
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Matlab for k means. It employs k means clustering. Efficient k means to give out clster sets.Code is in matlab
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用matlab实现模式识别里的K-均值聚类算法，算法简单-Pattern Recognition using matlab to achieve in the K-means clustering algorithm, the algorithm is simple
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在matlab下的k-均值聚类进行图像分类分割处理-In matlab under the k-means clustering for image classification be dealt with separately
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K均值聚类算法，对风电机组功率数据进行聚类分析，包括详细的程序说明。
只要把这两个文件放入一个空文件夹下，在MATLAB中执行m文件，就可得到聚类结果。-K-means clustering algorithm, the wind turbine power data clustering analysis, including a detailed descr iption of the procedures. As long as these two files into an empt
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模式识别中K均值聚类分析算法的matlab实现及注释，其中采用了误差平方和判断。-K-means clustering analysis algorithm in pattern recognition of matlab and annotation, which adopts the error sum of squares of judgment
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的temp算法中的k均值聚类算法，模式识别大作业，在MATLAB temp1环境下，性能优良。
-I write MATLAB program, just started to learn some data mining only, is temp classification algorithm in the k-means clustering algorithm, pattern recognition large opera
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 rgzMlz 算法中的k均值聚类算法，模式识别大作业，在MATLAB BDULLpp环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is rgzMlz classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 azLqAT 算法中的k均值聚类算法，模式识别大作业，在MATLAB ZgzBvBj环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is azLqAT classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 dqfxML 算法中的k均值聚类算法，模式识别大作业，在MATLAB tzpxQPh环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is dqfxML classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 xnVNON 算法中的k均值聚类算法，模式识别大作业，在MATLAB JMnhMwR环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is xnVNON classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 TZqMPr 算法中的k均值聚类算法，模式识别大作业，在MATLAB UvzkEdI环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is TZqMPr classification algorithm in the k-means clustering algorithm, pattern recognition large
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我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 SiFHqE 算法中的k均值聚类算法，模式识别大作业，在MATLAB LIKHXfH环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is SiFHqE classification algorithm in the k-means clustering algorithm, pattern recognition large
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聚类，这是一个用MATLAB编写的kmeans算法，主要用通常的聚类分析(Clustering, which is a MATLAB written in kmeans algorithm, mainly with the usual clustering analysis)
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The number of states in GMM as the generative model of the frames is obtained using
k-means algorithm. This also helps to initialize the mean vector and the covariance
matrix of the individual state of the GMM. The training LPC frames collected fro
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聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。
这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。(The clustering algorithm is given to a large number of original data, and then the data with similar features are gathered into a class by algorithm.
The K-mean
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根据网上基于划分法k-means的聚类算法，我做了改进。可以预设一个最大的类数和一个半径，自动划分合适的类。最终将随机三维点云聚类完成后显示为不同颜色。(According to the clustering algorithm based on partition K-means on the Internet, I improved it. A maximum number of classes and a radius can be preset to automatically divi
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