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Simultaneous clustering of multiview biomedical data using manifold optimization

机译:使用歧管优化同时聚类多视图生物医学数据

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Motivation: Multiview clustering has attracted much attention in recent years. Several models and algorithms have been proposed for finding the clusters. However, these methods are developed either to find the consistent/common clusters across different views, or to identify the differential clusters among different views. In reality, both consistent and differential clusters may exist in multiview datasets. Thus, development of simultaneous clustering methods such that both the consistent and the differential clusters can be identified is of great importance.
机译:动机:近年来,多视图聚类引起了很多关注。 已经提出了一些模型和算法来寻找群集。 但是,这些方法是开发的,用于在不同视图中找到一致/常见的群集,或者识别不同视图之间的差异集群。 实际上,在多视图数据集中可能存在一致和差异集群。 因此,可以识别同时聚类方法的发展,使得可以识别一致和差分簇非常重要。

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