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Oznake: computer science;machine learning;clustering
This paper focuses on a new clustering task, called self-taught clustering. Self-taught clustering is an instance of unsupervised transfer learning, which aims at clustering a small collection of target unlabeled data with the help of a large amount of auxiliary unlabeled data. The target and auxili ...
Leto: 2008 Vir: videolectures.net
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