A Feature Selection Approach Based on Interclass and Intraclass Relative Contributions of Terms

Feature selection plays a critical role in text categorization. During feature selecting, high-frequency terms and the interclass and intraclass relative contributions of terms all have significant effects on classification results. So we put forward a feature selection approach, IIRCT, based on int...

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Bibliografiset tiedot
Julkaisussa:Comput Intell Neurosci
Päätekijät: Zhou, Hongfang, Guo, Jie, Wang, Yinghui, Zhao, Minghua
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Hindawi Publishing Corporation 2016
Aiheet:
Research Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC4992800/
https://ncbi.nlm.nih.gov/pubmed/27579032
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/1715780
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