An Application of Clustering Analysis for lage scale marketing data
| Project/Area Number |
26780240
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Commerce
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| Research Institution | Teikyo University |
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Principal Investigator |
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | クラスター分析 / 親近度データ / マーケティングデータ / 大規模データ |
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| Outline of Final Research Achievements |
In this research, I focused on the overlapping cluster analysis which is one of the cluster analysis and is allowed the object can belong to more than one cluster. I tried to analyze the large scale data using overlapping cluster analysis, and to get new results which could not get by traditional analysis. In addition, I performed a theoretical research of overlapping cluster analysis which which is applied to the large scale data.
As the result, I confirmed the analysis can obtained the new interpretation. However, I discovered several problems in algorithm of overlapping cluster analysis, so I suggested some improvement of these problems. Now I write articles based on the result of research and continue a study for further improvement of the analysis.
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Report
(4 results)
Research Products
(4 results)
