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Application of Clustering Method based on Orthogonal Procrustes Analysis to Analysis of Questionnaire Data
http://hdl.handle.net/2237/20675
http://hdl.handle.net/2237/206754cdf8b4a-c9e4-4e99-90c7-77b69e1478fe
名前 / ファイル | ライセンス | アクション |
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2014-11-04 | |||||
タイトル | ||||||
タイトル | Application of Clustering Method based on Orthogonal Procrustes Analysis to Analysis of Questionnaire Data | |||||
言語 | en | |||||
著者 |
Yoshikawa, Tomohiro
× Yoshikawa, Tomohiro× Yamaga, Shinichiro× Furuhashi, Takeshi |
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アクセス権 | ||||||
アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Questionnaire Data | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Clustering | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Orthogonal Procrustes Analysis | |||||
抄録 | ||||||
内容記述 | In the field of marketing, companies often carry out a questionnaire to consumers for grasping their impressions of products. Analyzing the evaluation data obtained from consumers enables us to grasp the tendency of the market and to find problems and/or to make hypotheses that are useful for the development of products. Semantic Differential (SD) method is one of the most useful methods for quantifying human-impressions to the objects. The purpose of this study is to develop a method for visualization of individual features in data. This paper proposes the Clustering method based on Orthogonal Procrustes Analysis(COPA). The proposed method can cluster subjects among whom the distributed structures of the SD evaluation data are similar. The analysis by this method leads to discovery of majority/minority groups and/or groups which have unique features.In addition, it enables us to analyze the similarity/difference of objects and impression words among clusters and/or subjects by comparing the cluster centers and/or transformation matrices. This paper applies the proposed method to an actual SD evaluation data. It shows that this method can investigate the similar relationships among the objects in each group and compare the similarity/difference of impression words used for the evaluation of objects among subjects in the same cluster. | |||||
言語 | en | |||||
内容記述タイプ | Abstract | |||||
内容記述 | ||||||
内容記述 | Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems, September 17-21, 2008, Nagoya University, Nagoya, Japan | |||||
言語 | en | |||||
内容記述タイプ | Other | |||||
内容記述 | ||||||
内容記述 | Session ID: TH-A4-3 | |||||
言語 | en | |||||
内容記述タイプ | Other | |||||
出版者 | ||||||
言語 | ja | |||||
出版者 | 日本知能情報ファジィ学会 | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_5794 | |||||
タイプ | conference paper | |||||
出版タイプ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.14864/softscis.2008.0.410.0 | |||||
書誌情報 |
en : SCIS & ISIS 巻 2008, p. 410-414, 発行日 2008 |
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著者版フラグ | ||||||
値 | publisher | |||||
URI | ||||||
識別子 | http://dx.doi.org/10.14864/softscis.2008.0.410.0 | |||||
識別子タイプ | DOI | |||||
URI | ||||||
識別子 | http://hdl.handle.net/2237/20675 | |||||
識別子タイプ | HDL |