A new k-harmonic nearest neighbor classifier based on the multi-local means
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- 作者：Zhibin Pan ; zbpan@mail.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Yidi Wang simel1993@stu.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Weiping Ku wpin2010@stu.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Local mean ; k-nearest neighbor ; Harmonic mean distance ; Pattern classification ; Small training sample size
- 刊名：Expert Systems with Applications
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：67
- 期：Complete
- 页码：115-125
- 全文大小：1091 K
文摘
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K different multi-local means based on the k-nearest neighbors are employed.
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The harmonic mean distance is firstly introduced in the KNN classification problems.
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The classification error rates can be significantly reduced.
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Less sensitive to the choice of neighborhood size k.
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Easily designed in practice with a little extra computation complexity.