2010 Fiscal Year Final Research Report
Spatio-Temporal data analysis based on echelon hierarchical structure and its applications
| Project/Area Number |
20500258
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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 |
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Principal Investigator |
KURIHARA Koji Okayama University, 大学院・環境学研究科, 教授 (20170087)
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| Project Period (FY) |
2008 – 2010
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| Keywords | エシェロン解析 / 時空間情報 / 空間位相構造 / 分類 / ホットスポット / 空間スキャン統計量 |
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| Research Abstract |
In this research, we explore the cluster analysis for spatio-temporal data based on echelon hierarchical structure. We newly develop the technique to detect the candidates of hotspot as the top echelon in the dendrogram. In addition, the development technique was extended to the data of multi-variate space data, various regional data, SNP data and so on. Thus we can detect the time changes, expansion, reduction, movement and merger of a hotspot based on our technique.
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[Journal Article] Neural Network Approach for Histopathological Diagnosis of Breast Diseases with Images, (Edited by Lechevallier, Y., Saporta, G.)(Physica-Verlag)2010
Author(s)
Ishibashi, Y., Hara, A., Okayasu, I., Kurihara K.
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Journal Title
Proceedings of COMPSTAT2010
Pages: 1151-1158
Peer Reviewed
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