| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Outline of Final Research Achievements |
Clustering is applicable in many fields as an important data analysis tool. The objective of this research is constructing fuzzy clustering methods for incomplete spherical data, which will make fuzzy clustering methods for spherical data applicable to practical situations.
In 2015 fiscal year, we arranged fuzzy clustering methods for complete spherical data, and evaluated their performance for incomplete data by whole data strategy. In 2016 fiscal year, we compared the proposed methods with the conventional methods in terms of clustering accuracy using artificial data sets. In 2017 fiscal year, we constructed imputation methods for incomplete spherical data, which is corresponding with the complete information maximum likelihood estimation for linear statistics.
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