The effect of imbalanced data sets on LDA : A theoretical and empirical analysis
In: Pattern recognition, Jg. 40 (2007), Heft 2, S. 557-562
academicJournal
- print, 10 ref
Zugriff:
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.
Titel: |
The effect of imbalanced data sets on LDA : A theoretical and empirical analysis
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Autor/in / Beteiligte Person: | JIGANG, XIE ; ZHENGDING, QIU |
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Zeitschrift: | Pattern recognition, Jg. 40 (2007), Heft 2, S. 557-562 |
Veröffentlichung: | Oxford: Elsevier Science, 2007 |
Medientyp: | academicJournal |
Umfang: | print, 10 ref |
ISSN: | 0031-3203 (print) |
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