Global discriminative-based nonnegative spectral clustering
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- 作者：Ronghua Shang ; rhshang@mail.xidian.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Zhu Zhang ; Licheng Jiao ; Wenbing Wang ; Shuyuan Yang
- 关键词：Spectral clustering ; Nonnegative matrix factorization (NMF) ; Global discrimination information
- 刊名：Pattern Recognition
- 出版年：2016
- 出版时间：July 2016
- 年：2016
- 卷：55
- 期：Complete
- 页码：172-182
- 全文大小：1503 K
文摘
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We maximize the between-class scatter matrix.
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Meanwhile, we minimize the within-class scatter matrix.
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We integrate the geometrical structure and discriminative structure in a framework.
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A global discriminative regularization term added into the objective functions.
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The new algorithms can preserve the global geometrical and discriminative structure.