The paper discusses a new approach for incorporating hard constraints into the K -means algorithm for semi-supervised clustering. An analytic modification of the objective function of K -means is proposed that has not been previously considered in the literature.

中文翻译：

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关于具有硬正负约束的 K-means 算法的正式实现的说明

该论文讨论了一种将硬约束合并到用于半监督聚类的 K 均值算法中的新方法。建议对 K-means 的目标函数进行分析修改，这是以前文献中未考虑过的。