一个基于Gabrial图的聚类方法

A CLUSTERING METHOD BASED ON GABRIAL GRAPH

  • 摘要: 本文依据聚类问题的视觉模型,提出一个建立在Gabrial图上的k-齐次聚类方法.Gabrial图使用点与点之间的相对距离,因而比MST更能体现空间点的聚类性质(聚内齐次性).分析和实例表明了k-齐次聚类方法的实用性.

     

    Abstract: In terms of visual model for clustering problem,this paper proposes a k-homogeneous clustering method based on Gabrial graph which uses relative distances between points and havs stronger ability to represent cluster properties of spatial points(homogeneity within cluster)than MST does.Examples and analysis indicate thatk-homogeneous clustering method is rather practical.

     

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