Learning simultaneous adaptive clustering and classification via MOEA
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- 作者：Juanjuan Luo ; ljjinxd@163.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Licheng JiaoAuthor Vitae ; Ronghua ShangAuthor Vitae ; Fang LiuAuthor Vitae
- 关键词：Multiobjective optimization ; Evolutionary algorithm ; Clustering learning ; Classification learning ; Simultaneous learning ; Image segmentation
- 刊名：Pattern Recognition
- 出版年：2016
- 出版时间：December 2016
- 年：2016
- 卷：60
- 期：Complete
- 页码：37-50
- 全文大小：1623 K
文摘
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A simultaneous adaptive clustering and classification learning via MOEA is proposed.
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New clustering objective function is designed, and two objective functions complement with each other.
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The number of clusters can be determined adaptively during the learning process.
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The drawback from clustering/classification learning is used to guide the search.
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We extend it to texture image and SAR image segmentation to show its effectiveness.