A Study of Efficient and Robust Clustering for Large-Scale Datasets [an abstract of dissertation and a summary of dissertation review]


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Files in This Item:

Hao_Liu_abstract.pdf	論文内容の要旨	17.4 kB	PDF	View/Open
Hao_Liu_review.pdf	審査の要旨	18.42 kB	PDF	View/Open

Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/57167

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Title:	A Study of Efficient and Robust Clustering for Large-Scale Datasets [an abstract of dissertation and a summary of dissertation review]
Other Titles:	大規模データセットに対する効率的で信頼性の高いクラスタリングに関する研究 [論文内容及び審査の要旨]
Authors:	劉, 浩¹ Browse this author
Authors(alt):	Liu, Hao¹
Issue Date:	25-Sep-2014
Publisher:	Hokkaido University
Conffering University:	北海道大学
Degree Report Number:	甲第11521号
Degree Level:	博士
Degree Discipline:	情報科学
Examination Committee Members:	(主査) 教授栗原正仁, 教授山本雅人, 教授鈴木恵二, 教授小野哲雄, 准教授小山聡
Degree Affiliation:	情報科学研究科（複合情報学専攻）
Rights:	http://creativecommons.org/licenses/by-nc-sa/2.1/jp/
Type:	theses (doctoral - abstract and summary of review)
URI:	http://hdl.handle.net/2115/57167
Appears in Collections:	学位論文 (Theses) > 博士　（情報科学）課程博士 (Doctorate by way of Advanced Course) > 情報科学院(Graduate School of Information Science and Technology)

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