2010 Fiscal Year Final Research Report
Development of a high dimensional aggregation operator and its application to a clustering model
| Project/Area Number |
20500252
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | University of Tsukuba |
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Principal Investigator |
ILIC Mika (佐藤 美佳) University of Tsukuba, 大学院・システム情報工学研究科, 准教授 (60269214)
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| Co-Investigator(Renkei-kenkyūsha) |
SHIMIZU Nobuo 統計数理研究所, 助教 (00332130)
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| Project Period (FY) |
2008 – 2010
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| Keywords | 分類 / パターン認識 / Aggregation Operator |
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| Research Abstract |
This research proposed a high dimensional aggregation operator and investigated its features. In addition, we applied this aggregation operator to a clustering model for practical use. Conventionally, research based on statistical metric space has been discussed for this area, however a generalized high dimensional aggregation operator has not been proposed. So, in this research, we developed a high dimensional aggregation operator to obtain a general purpose clustering model by exploiting this aggregation operator.
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