聚类 k-means
聚类算法 K-means
值聚类 k-means
快速聚类 k-means ; K-Means Cluster
K均值聚类 K-means ; k-means clustering
聚类算法优缺点 k-means
逐步聚类法 K means method
聚类分析 K-Means Cluster
快速聚类法 K-Means Cluster
...布门户网站 关键词： K-means 聚类；聚类中心；自适应；相似性度量；阈值；航迹起始 [gap=1135]Key words: K-means clustering; cluster center; adaptive; similarity measure; threshold; Track initiation ..
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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。
Local optimality and initialization dependence disadvantages of K-means are analyzed and a PSO-based K-means algorithm is proposed.
针对K均值聚类算法依赖于初始值的选择，且容易收敛于局部极值的缺点，提出一种基于粒群优化的K均值算法。
Experiments using artificial data and actual business data testify the validity of this method. It can improve the traditional K-means effect well.
采用人工数据和实际商业数据的实验证明该方法能有效地改善传统的聚类效果。
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