matlab代码实现kmeans算法

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kmeans算法，许多同学做毕设需要用到

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The k-means algorithm is a popular method for clustering data points into groups based on similarity. It has become a common tool for many students who are working on their final projects, as it can be applied in a wide variety of disciplines.

One of the reasons for the popularity of the k-means algorithm is its simplicity and ease of use, making it accessible to those who are less experienced in data analysis. However, it is important to note that the algorithm is not without limitations. For example, it is highly dependent on the initial placement of the centroids and may not always produce the most accurate results.

Despite its limitations, the k-means algorithm remains a widely used and effective tool for clustering data points, and its versatility makes it a valuable addition to any data analysis toolkit. As students continue to explore its applications in various fields, it is likely that new insights and improvements will continue to emerge.