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...
| Udgivet i: | Machine learning. 53, 3 (2003). |
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| Format: | Article |
| Sprog: | English |
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