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PR
2007

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The effect of imbalanced data sets on LDA: A theoretical and empirical analysis

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The effect of imbalanced data sets on LDA: A theoretical and empirical analysis

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This paper demonstrates that the imbalanced data sets have a negative effect on the performance of LDA theoretically. This theoretical analysis is conﬁrmed by the experimental results: using several sampling methods to rebalance the imbalanced data sets, it is found that the performances of LDA on balanced data sets are superior to those of LDA on imbalanced data sets. ᭧ 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

Jigang Xie, ZhengDing Qiu

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Imbalanced Data Sets | Negative Effect | Pattern Recognition Society | PR 2007 |

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Added	27 Dec 2010
Updated	27 Dec 2010
Type	Journal
Year	2007
Where	PR
Authors	Jigang Xie, ZhengDing Qiu

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