Clustering with Labeled and Unlabeled Data Based on Constrained -Nonnegative Matrix Factorization
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 100 === Semi-supervised clustering methods ,which aim to cluster the data set under the guidance of some supervisory information, have become a topic of significant research. The supervisory information is usually used as the constraints to bias clustering toward a g...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/30554527577087405135 |