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Adaptive local hyperplane classification
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DOI：10.1016/j.neucom.2008.01.014.png)
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摘要
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In this paper, a novel classifier, called adaptive local hyperplane, is proposed for pattern classification. The experimental results on 11 real data sets demonstrate that the proposed classifier outperforms, on average, all the other seven benchmarking classifiers. In particular, it is the best classifier in 10 out of 11 data sets, and it is the close second best for just one data set. (c) 2008 Elsevier B.V. All rights reserved.
Keyword:
pattern classification
nearest neighbor
manifold
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期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
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NUCLEIC ACIDS RESEARCHIF13.1
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PREAI
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