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Weighted multi-view clustering for handwritten numerals

  • Zhejiang University of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Many problems in educational data mining involve datasets that come from multiple different views or sources, which make the data mining task more challenging. However, most existing methods rely equally on every view, something lead to performance degradation in the case of incompatible views. In this work, we focus on a typical multi-view problem, the handwritten numerals clustering. In the proposed algorithm, each view is assigned a weight to express its importance and a simple yet efficient dynamical weight updating strategy is given.

源语言英语
主期刊名Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015
编辑Yu-Ju Lan, Hsin-Yih Shyu, Chengjiu Yin, Hiroaki Ogata, Wenli Chen, Ming-Fong Jan, Sahana Murthy, Ying-Tien Wu, Siu Cheung Kong, Xiaoqing Gu, Beaumie Kim, Yongwu Miao, Niwat Srisawasdi, Yuping Wang, Chiu-Pin Lin, Carol H.C. Chu, Jari Laru, Miguel Nussbaum, Ma. Mercedes T. Rodrigo, Ju-Ling Shih, Amali Weerasinghe, Weiqin Chen, Feiyue Qiu, Vania Dimitrova, Ching-Kun Hsu, Lung-Hsiang Wong, Maiga Chang, Tore Hoel, Yen-Hui Audrey Li, Jon Mason, Hitoshi Sasaki, Li Zhang
出版商Asia-Pacific Society for Computers in Education
121-123
页数3
ISBN(电子版)9784990801458
出版状态已出版 - 2015
已对外发布
活动23rd International Conference on Computers in Education, ICCE 2015 - Hangzhou, 中国
期限: 30 11月 20154 12月 2015

出版系列

姓名Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015

会议

会议23rd International Conference on Computers in Education, ICCE 2015
国家/地区中国
Hangzhou
时期30/11/154/12/15

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