【聚类论文笔记】Cluster Ensembles – A Knowledge Reuse Framework for Combining Multiple Partitions
Abstract 将多个聚类（划分）结果组合成一个具有更高精确度和鲁棒性的聚类结果。这篇论文其实比多视图聚类更具通用性，它这里“组合”的可以是不同的聚类算法运行之后的聚类结果，这一点与多视图聚类有很大的不同。 This paper introduces the problem of combining multiple partitionings of a set of objects into
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相关文章
- 1. 论文笔记：Distilling the Knowledge
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