Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications
The focus of this study is the development and evaluation of a new partially supervised learning framework. This framework belongs to an emerging field in machine learning that augments unsupervised learning processes with some elements of supervision. It is based on proximity fuzzy clustering, wher...
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Format: | Others |
Language: | en_US |
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2011
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Online Access: | http://hdl.handle.net/10048/1694 |