On Feature Selection and Rule Extraction for High Dimensional Data: A Case of Diffuse Large B-Cell Lymphomas Microarrays Classification
© 2015 Narissara Eiamkanitchat et al. Neurofuzzy methods capable of selecting a handful of useful features are very useful in analysis of high dimensional datasets. A neurofuzzy classification scheme that can create proper linguistic features and simultaneously select informative features for a high...
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Main Authors: | , , |
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Format: | Journal |
Published: |
2018
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Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84948798462&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/54522 |
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Institution: | Chiang Mai University |