2012 Fiscal Year Final Research Report
Heuristic representation and effective reduction for large scaled and high dimensional information and its computational environments
| Project/Area Number |
22500265
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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 | Okayama University of Science |
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Principal Investigator |
MORI Yuichi 岡山理科大学, 総合情報学部, 教授 (80230085)
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| Co-Investigator(Kenkyū-buntansha) |
IIZUKA Masaya 岡山大学, 環境学研究科, 講師 (60322236)
KURODA Masahiro 岡山理科大学, 総合情報学部, 准教授 (90279042)
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| Co-Investigator(Renkei-kenkyūsha) |
ADACHI Kohei 大阪大学, 人間科学研究科, 教授 (60299055)
NAKANO Junji 統計数理研究所, 統計計算開発センター, 教授 (60136281)
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| Project Period (FY) |
2010 – 2012
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| Keywords | 多変量解析大規模データ / 可視化 / 次元縮約 / 加速化計算 / インタラクティブ / インタフェース / 変数選択 / 非計量主成分分析 |
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| Research Abstract |
We discussed heuristic representation methods and effective computational algorithms for large scaled and high dimensional data in information visu- alization, data reduction, and variable selection problems. We developed a web-based graphics application which has an interactive interface using finger gestures on the touch-screen, a colored face graph which can represent a part of multiple variables by color, and an interactive tool to find useful rules in association analysis. We also studied accel- eration techniques in non-linear principal component analysis by applying an acceleration algorithm to qualitative variable selection problem which needs high computation cost and proposed a two-stage acceleration algorithm to get estimations more speedy. We confirmed that all tools work well for heuristic and intuitive observations and that our proposed ac- celeration algorithms provide good performances in numerical experiments.
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Research Products
(11 results)
