| Project/Area Number |
13680475
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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 |
情報システム学(含情報図書館学)
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| Research Institution | University of Tsukuba |
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Principal Investigator |
MIYAMOTO Sadaaki University of Tsukuba, Institute of Engineering Mechanics and Systems, Professor, 機能工学系, 教授 (60143179)
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| Co-Investigator(Kenkyū-buntansha) |
NAKATA Michinori Josai Kokusai University, Department of Management Information, Professor, 経営情報学部, 教授 (10201667)
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| Project Period (FY) |
2001 – 2003
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| Project Status |
Completed (Fiscal Year 2003)
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| Budget Amount *help |
¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 2003: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2002: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2001: ¥1,900,000 (Direct Cost: ¥1,900,000)
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| Keywords | Information retrieval system / multiset / fuzzy multiset / c-means clustering / nonlinear clustering / kernel trick / support vector machine / display of information / サポートベクトルマシン / サモンマップ |
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| Research Abstract |
Theory of multisets and fuzzy multisets has been established by introducing several new operations and proving fundamental properties. Moreover infiniteness is introduced into multisets and relationships with a foregoing theory of real-valued multisets have been investigated : Moreover generalized multisets are defined which includes ordinary fuzzy multisets and real-valued multisets. In addition, rough approximations of generalized multisets are studied. Current methods of clustering do not assume multiset spaces, and therefore multiset spaces and similarities/distances for clustering have been defined whereby methods of crisp and fuzzy c-means can be used and application to document clustering has been studied
Information retrieval models using the multiset framework and clustering has been considered and algorithms of information clustering have been developed. In particular, clusters with nonlinear boundaries have been generated by the use of kernel tricks in support vector machines and c-means algorithms. Moreover fast algorithms of nonlinear clustering have been developed
As fuzzy database uses fuzzy multisets, theoretical implications of the present theory of fuzzy multisets to fuzzy databases have been studied
An information retrieval system prototype has been developed which employs clusters and displays clusters on a sphere. The distance on the sphere reflects the distance between those pair in the original space. Moreover this system can show hierarchies of clusters
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