A global optimization method for semi-supervised clustering
作者:Yu Xia
摘要
In this paper, we adapt Tuy’s concave cutting plane method to the semi-supervised clustering. We also give properties of local optimal solutions of the semi-supervised clustering. Numerical examples show that this method can give a better solution than other semi-supervised clustering algorithms do.
论文关键词:Partitional clustering, Semi-supervised clustering, Instance-level constraints, Global optimization, Concavity cuts
论文评审过程:
论文官网地址:https://doi.org/10.1007/s10618-008-0104-3