Unsupervised learning in high-dimensional space
Thesis (Ph.D.)--Boston University === In machine learning, the problem of unsupervised learning is that of trying to explain key features and find hidden structures in unlabeled data. In this thesis we focus on three unsupervised learning scenarios: graph based clustering with imbalanced data, point...
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| Language: | en_US |
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Boston University
2015
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| Online Access: | https://hdl.handle.net/2144/12951 |