A new feature set partitioning method for nearest mean classifier ensembles
Nearest Mean Classifier (NMC)provides good performance for small sample size problem. However concatenate different features into a high dimensional feature vectors and process them using a single NMC generally does not give good results because of dimensionality problem.In this new method, the fea...
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| 主要な著者: | , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
2013
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| 主題: | |
| オンライン･アクセス: | http://repo.uum.edu.my/11967/1/PID54.pdf http://repo.uum.edu.my/11967/ http://www.icoci.cms.net.my/proceedings/2013/TOC.html |
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