@Article{NMTMA-3-223,
author = {Jie Wang and Xiaoqiang Wang},
title = {Edge-Weighted Centroidal Voronoi Tessellations},
journal = {Numerical Mathematics: Theory, Methods and Applications},
year = {2010},
volume = {3},
number = {2},
pages = {223--244},
abstract = {<p style="text-align: justify;">Most existing applications of centroidal Voronoi tessellations (CVTs) lack consideration
of the length of the cluster boundaries. In this paper we propose a new model
and algorithms to produce segmentations which would minimize the total energy — a
sum of the classic CVT energy and the weighted length of cluster boundaries. To distinguish
it with the classic CVTs, we call it an Edge-Weighted CVT (EWCVT). The concept
of EWCVT is expected to build a mathematical base for all CVT related data classifications
with requirement of smoothness of the cluster boundaries. The EWCVT method is
easy in implementation, fast in computation, and natural for any number of clusters.</p>},
issn = {2079-7338},
doi = {https://doi.org/10.4208/nmtma.2010.32s.7},
url = {http://global-sci.org/intro/article_detail/nmtma/5998.html}
}