2010 Fiscal Year Final Research Report
From interval arithmetic to multi-peak/fuzzy distribution arithmetic-comprehensive numerical analysis for uncertain systems-
| Project/Area Number |
20500214
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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 |
Sensitivity informatics/Soft computing
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| Research Institution | Shibaura Institute of Technology |
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Principal Investigator |
KANZAWA Yuchi Shibaura Institute of Technology, 工学部, 准教授 (00298176)
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| Project Period (FY) |
2008 – 2010
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| Keywords | 多鋒性分布 / ファジィ分布 |
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| Research Abstract |
In this research, conventional clustering methods for uncertain data are reviewed from the probabilistic point of view, new clustering methods are proposed for clustering, PCA, or linear clustering in the data space or in the feature space, which are obtained by solving the optimization problem adding squared Euclidean norm of the value of uncertainty for data to the original objective functions.
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Research Products
(21 results)
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[Presentation] Fuzzy c-Lines for Data with Tolerance2009
Author(s)
Yuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto
Organizer
2009 International Fuzzy System Association World Congress/2009 European Sciety for Fuzzy Logic and Technology
Place of Presentation
Lisbon (Portugal)
Year and Date
2009-07-23
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