Initialization independent clustering with actively self-training method
The results of traditional clustering methods are usually unreliable as there is not any guidance from the data labels, while the class labels can be predicted more reliable by the semisupervised learning if the labels of partial data are given. In this paper, we propose an actively self-training cl...
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Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/96337 http://hdl.handle.net/10220/11431 |
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Institution: | Nanyang Technological University |
Language: | English |
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