Learning from cluster examples.

Learning from cluster examples (LCE) is a hybrid task combining features of two common grouping tasks: learning from examples and clustering. In LCE, each training example is a partition of objects. The task is then to learn from a training set, a rule for partitioning unseen object sets. A general...

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Chi tiết về thư mục

Xuất bản năm:	Machine learning. 53, 3 (2003).
Tác giả chính:	Kamishima, Toshihiro
Định dạng:	Bài viết
Ngôn ngữ:	English
Những chủ đề:	Learning from examples. Clustering. Dot pattern. Image segmentation.