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Open AccessFeature selection and replacement by clustering attributes
Feature selection is to find useful and relevant features from an original feature space to effectively represent and index a given dataset. It is very important for classification and clustering problems, whi...
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Chapter and Conference Paper
Correction to: Proceedings of the Fifth Euro-China Conference on Intelligent Data Analysis and Applications
In the original version of the book, the first affiliation “Princeton University, Princeton, NJ 08544, USA” has to be removed for chapter authors “Lu Sun” and “Yuan Tian” in chapters “A Minimum Spanning Tree A...