图象kmeans聚类算法

图像K-means聚类算法是一种将图像像素点按照距离大小划分为K个簇的算法。其基本原理是基于彩色图像的RGB三通道建立空间直角坐标系，选择K个随机点作为初始簇心坐标，然后计算每个像素点与簇心之间的距离，并将像素点划分至距离最小的簇类中。重
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- *1* *3* [基于Kmeans聚类算法实现图像分割（从原理开始实现）](https://blog.csdn.net/jun_hun_/article/details/104817913)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* [Kmeans聚类-K值以及簇中心点的选取](https://blog.csdn.net/setella/article/details/74331741)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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