Towards general semi-supervised clustering using a cognitive reinforcement K-Iteration fast learning artificial neural network (R-Kflann)
The study of a semi-supervised clustering has recently attracted great interest from the data clustering community. Work in semi-supervised clustering systems has been done focusing on specific types of auxiliary information, i.e. partial labeling or pairwise constraints. However, in some applicatio...
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| Format: | Thesis |
| Language: | English |
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2010
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| Online Access: | https://hdl.handle.net/10356/41504 |