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