2016 Fiscal Year Final Research Report
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
|
| Keywords | クラスター分析 / 親近度データ / マーケティングデータ |
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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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| Free Research Field |
データマイニング
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