A Hybrid Filter-Wrapper Approach for FeatureSelection
Feature selection is the task of selecting a small subset from original features that can achieve maximum classification accuracy. This subset of features has some very important benefits like, it reduces computational complexity of learning algorithms, saves time, improve accuracy and the selected...
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| Format: | Others |
| Language: | English |
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Örebro universitet, Institutionen för naturvetenskap och teknik
2011
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-26418 |