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Non-redundant clustering, principal feature selection and learning methods applied to lung tumor image-guided radiotherapy
Author(s) -
Ying Cui
Publication year - 2009
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17760/d10018761
Subject(s) - cluster analysis , orthogonalization , pattern recognition (psychology) , principal component analysis , dimensionality reduction , artificial intelligence , redundancy (engineering) , clustering high dimensional data , feature selection , computer science , feature (linguistics) , minimum redundancy feature selection , data mining , correlation clustering , mathematics , algorithm , linguistics , philosophy , operating system

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