| DOI | Resolve DOI: https://doi.org/10.1109/NAFIPS.2009.5156396 |
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| Author | Search for: Pizzi, Nick J.1; Search for: Pedrycz, Witold |
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| Affiliation | - National Research Council of Canada. NRC Institute for Biodiagnostics
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| Format | Text, Article |
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| Conference | NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society, June 14-17, 2009, Cincinnati, OH, USA |
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| Abstract | While many techniques exist to classify data possessing straightforward characteristics, they tend to fail when dealing with the ldquocurse of dimensionalityrdquo. This condition, in which the ratio of features to samples is very large, is prevalent in many complex, voluminous biomedical datasets acquired using current spectroscopic modalities. We present a novel classification method using an adaptive network of fuzzy logic connectives to combine class boundaries generated by sets of linear discriminant functions. We empirically demonstrate the effectiveness of this method using a benchmark linear discriminant analysis approach with feature averaging. |
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| Publication date | 2009-07-06 |
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| Publisher | IEEE |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 23004417 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 9796353e-7975-407e-a73f-d6f842f69fc9 |
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| Record created | 2018-10-31 |
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| Record modified | 2020-04-16 |
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