| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Outline of Final Research Achievements |
In this research project, we aim to establish a language-based clustering (linguistic clustering) technique by converting from conventional model-based clustering. First, we extract the mathematical models which are the basis of the conventional clustering algorithms, and discuss the description by the language of the extracted mathematical models. Next, considering the discussion, we consider language-based inference in clustering. Then, based on the language-based inference, some new clustering algorithms based on language-based inference are constructed. After comparing and examining the constructed algorithm with the conventional model-based clustering algorithm through numerical examples, we consider the possibility of mathematical development based on linguistic clustering and the applicable real data.
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