Learning from cluster examples.

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...

Täydet tiedot

Bibliografiset tiedot
Julkaisussa:Machine learning. 53, 3 (2003).
Päätekijä: Kamishima, Toshihiro
Aineistotyyppi: Artikkeli
Kieli:English
Aiheet:
Learning from examples.
Clustering.
Dot pattern.
Image segmentation.