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Clustering of Questionnaire Based on Feature Extracted by Geometric Algebra
http://hdl.handle.net/2237/20676
http://hdl.handle.net/2237/20676b71b8e79-9784-4eb7-853c-f221acc7673c
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
2008_798.pdf (1.0 MB)
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| Item type | 会議発表論文 / Conference Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2014-11-04 | |||||
| タイトル | ||||||
| タイトル | Clustering of Questionnaire Based on Feature Extracted by Geometric Algebra | |||||
| 言語 | en | |||||
| 著者 |
MINH, TUAN PHAM
× MINH, TUAN PHAM× Tachibana, Kanta× Hitzer, Eckhard× Yoshikawa, Tomohiro× 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 | Geometric Algebra | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Kernel Alignment | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Semi-Supervised Learning | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Clustering is one of the most useful methods to understand similarity among data. However, most conventional clustering methods do not pay sufficient attention to geometric properties of data. Geometric algebra (GA) is a generalization of complex numbers and of quaternions, and it is able to describe spatial objects and relations between them. In this study we introduce GA to systematically extract geometric features from data. We propose a new clustering method by using various geometric features extracted with GA. We apply the proposed method to clarification of human impressions of a product. In the field of marketing, companies often carry out a questionnaire on consumers for grasping their impressions. Analyzing consumers through the obtained evaluation data enables us to know the tendency of the market and to find problems and/or to make hypotheses that are useful for the development of products. Finally, we discuss clustering results of a questionnaire with/without GA. | |||||
| 言語 | en | |||||
| 内容記述 | ||||||
| 内容記述タイプ | Other | |||||
| 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 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | Session ID: FR-G2-2 | |||||
| 言語 | en | |||||
| 出版者 | ||||||
| 出版者 | 日本知能情報ファジィ学会 | |||||
| 言語 | ja | |||||
| 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.2008.0.798.0 | |||||
| 書誌情報 |
en : SCIS & ISIS 巻 2008, p. 798-803, 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.2008.0.798.0 | |||||
| 識別子タイプ | DOI | |||||
| URI | ||||||
| 識別子 | http://hdl.handle.net/2237/20676 | |||||
| 識別子タイプ | HDL | |||||
