Convergence of the Lloyd algorithm for computing centroidal Voronoi tessellations

被引:200
作者
Du, Q [1 ]
Emelianenko, M
Ju, LL
机构
[1] Penn State Univ, Dept Math, University Pk, PA 16802 USA
[2] Carnegie Mellon Univ, Dept Math Sci, Pittsburgh, PA 15213 USA
[3] Univ S Carolina, Dept Math, Columbia, SC 29208 USA
关键词
centroidal Voronoi tessellations; k-means; optimal vector quantizer; Lloyd algorithm; global convergence; convergence rate;
D O I
10.1137/040617364
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Centroidal Voronoi tessellations (CVTs) are Voronoi tessellations of a bounded geometric domain such that the generating points of the tessellations are also the centroids (mass centers) of the corresponding Voronoi regions with respect to a given density function. Centroidal Voronoi tessellations may also be defined in more abstract and more general settings. Due to the natural optimization properties enjoyed by CVTs, they have many applications in diverse fields. The Lloyd algorithm is one of the most popular iterative schemes for computing the CVTs but its theoretical analysis is far from complete. In this paper, some new analytical results on the local and global convergence of the Lloyd algorithm are presented. These results are derived through careful utilization of the optimization properties shared by CVTs. Numerical experiments are also provided to substantiate the theoretical analysis.
引用
收藏
页码:102 / 119
页数:18
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