这是模式识别中关于k均值动态聚类算法的matlab源码

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这是模式识别中关于k均值动态聚类算法的matlab源码

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This document contains the Matlab source code for dynamic clustering of k-means algorithm in pattern recognition. Dynamic clustering refers to the process of grouping similar data points together based on their characteristics. The k-means algorithm is a popular unsupervised learning model used to cluster data points based on their similarity. The code provided in this document can be used to implement the k-means algorithm for dynamic clustering of data points, which can be used in various applications such as image processing, data mining, and pattern recognition. The use of this algorithm can greatly enhance the accuracy and efficiency of clustering, as well as enable the analysis of large datasets in a more manageable and meaningful way.