{"created":"2023-05-15T11:59:56.682746+00:00","id":6587,"links":{},"metadata":{"_buckets":{"deposit":"05e22a36-d681-413c-8774-c17d5864288b"},"_deposit":{"created_by":3,"id":"6587","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"6587"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00006587","sets":["8:24"]},"author_link":["27861","661","27860","27859"],"item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2016-09-29","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"466","bibliographicPageStart":"459","bibliographicVolumeNumber":"9949","bibliographic_titles":[{"bibliographic_title":"Lecture Notes in Computer Science"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This paper describes a method of multilevel–multigroup analysis based on a nonlinear multiway dimensionality reduction. To analyze a set of groups in terms of the probabilistic distribution of their constituent member data, the proposed method uses a hierarchical pair of tensor self-organizing maps (TSOMs), one for the member analysis and the other for the group analysis. This architecture enables more flexible analysis than ordinary parametric multilevel analysis, as it retains a high level of translatability supported by strong visualization. Furthermore, this architecture provides a consistent and seamless computation method for multilevel–multigroup analysis by integrating two different levels into a hierarchical tensor SOM network. The proposed method is applied to a dataset of football teams in a university league, and successfully visualizes the types of players that constitute each team as well as the differences or similarities between the teams.","subitem_description_type":"Abstract"}]},"item_21_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"23rd International Conference on Neural Information Processing, ICONIP 2016, October 16–21, 2016, Kyoto, Japan","subitem_description_type":"Other"}]},"item_21_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_21_link_62":{"attribute_name":"研究者情報","attribute_value_mlt":[{"subitem_link_url":"https://hyokadb02.jimu.kyutech.ac.jp/html/100001227_ja.html"},{"subitem_link_url":"https://hyokadb02.jimu.kyutech.ac.jp/html/343_ja.html"}]},"item_21_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Springer Berlin/Heidelberg"}]},"item_21_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1007/978-3-319-46675-0_50","subitem_relation_type_select":"DOI"}}]},"item_21_relation_9":{"attribute_name":"ISBN","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-3-3194-6675-0","subitem_relation_type_select":"ISBN"}},{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-3-319-46674-3","subitem_relation_type_select":"ISBN"}}]},"item_21_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright (c) Springer International Publishing AG 2016"},{"subitem_rights":"The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-46675-0_50"}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_text_28":{"attribute_name":"論文ID(連携)","attribute_value_mlt":[{"subitem_text_value":"10345404"}]},"item_21_text_36":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Department of Brain Science and Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"},{"subitem_text_value":"Department of Brain Science and Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"},{"subitem_text_value":"Department of Brain Science and Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"},{"subitem_text_value":"Department of Brain Science and Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"8326"}]},"item_21_version_type_58":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Ishibashi, Hideaki","creatorNameLang":"en"},{"creatorName":"石橋, 英朗","creatorNameLang":"ja"},{"creatorName":"イシバシ, ヒデアキ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{}]},{"creatorNames":[{"creatorName":"Shinriki, Ryota"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Isogai, Hirohisa"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Furukawa, Tetsuo","creatorNameLang":"en"},{"creatorName":"古川, 徹生","creatorNameLang":"ja"},{"creatorName":"フルカワ, テツオ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-06-10"}],"displaytype":"detail","filename":"978-3-319-46675-0_50.pdf","filesize":[{"value":"2.5 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Network","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Multilevel–Multigroup Analysis Using a Hierarchical Tensor SOM Network"}]},"item_type_id":"21","owner":"3","path":["24"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-06-10"},"publish_date":"2020-06-10","publish_status":"0","recid":"6587","relation_version_is_last":true,"title":["Multilevel–Multigroup Analysis Using a Hierarchical Tensor SOM Network"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-10-25T10:17:36.387203+00:00"}