This is supported by the comparison with the results of hierarchical clustering segmentation of point cloud model and K-Means clustering segmentation of mesh model.

与三维网格模型的K均值聚类分割、点云模型的谱系聚类分割的实验结果比较证实了这一点。

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It applies weighted K-means clustering for region segmentation, instead of traditional K-means clustering.

对于区域分割，使用基于加权平方欧式距离的均值聚类算法代替传统的均值聚类算法。

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Experimental results show that the new algorithm for image segmentation accuracy than a single K means clustering algorithm and the ant colony clustering algorithm has greatly improved.

实验结果证明，新算法在图像分割处理的精确度上较单一的K均值和蚁群聚类算法有很大提高。

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