| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Outline of Final Research Achievements |
Due to the recent advances in data collection and storage, data sets for statistical analysis have become complex and enormous. In the analysis of repeated measures data, for example, the data are often considered as a certain function, and such an analysis is called functional data analysis. In this study, I developed a new clustering method that conducted clustering and dimension reduction of multivariate functional objects simultaneously. Related to the method, I developed another clustering method with dimension reduction for multivariate binary data. In addition, I developed a new clustering method that identified a cluster structure of outcome variables and predicted cluster memberships of future individuals based on explanatory variables.
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