{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00102150","sets":["1164:4402:7410:7622"]},"path":["7622"],"owner":"11","recid":"102150","title":["Bayesian multiple and co-clustering methods: Application to fMRI data"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-07-15"},"_buckets":{"deposit":"f4dc8a5c-2dcc-4d40-b1b0-6a3a82e9dbdb"},"_deposit":{"id":"102150","pid":{"type":"depid","value":"102150","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Bayesian multiple and co-clustering methods: Application to fMRI data","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Bayesian multiple and co-clustering methods: Application to fMRI data"},{"subitem_title":"Bayesian multiple and co-clustering methods: Application to fMRI data","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2014-07-15","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Okinawa Institute of Science and Technology Graduate University"},{"subitem_text_value":"Okinawa Institute of Science and Technology Graduate University"},{"subitem_text_value":"Okinawa Institute of Science and Technology Graduate University"},{"subitem_text_value":"Kyoto University／Okinawa Institute of Science and Technology Graduate University"},{"subitem_text_value":"Hiroshima University"},{"subitem_text_value":"Hiroshima University"},{"subitem_text_value":"Hiroshima University"},{"subitem_text_value":"Hiroshima University"},{"subitem_text_value":"Otemon Gakuin University"},{"subitem_text_value":"Hiroshima University"},{"subitem_text_value":"Hiroshima University"},{"subitem_text_value":"Tokyo University"},{"subitem_text_value":"Okinawa Institute of Science and Technology Graduate 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University","subitem_text_language":"en"},{"subitem_text_value":"Hiroshima University","subitem_text_language":"en"},{"subitem_text_value":"Tokyo University","subitem_text_language":"en"},{"subitem_text_value":"Okinawa Institute of Science and Technology Graduate University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/102150/files/IPSJ-ICS14176002.pdf"},"date":[{"dateType":"Available","dateValue":"2016-07-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ICS14176002.pdf","filesize":[{"value":"1.8 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Yahata"},{"creatorName":"Kenji, Doya"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tomoki, Tokuda","creatorNameLang":"en"},{"creatorName":"Junichiro, Yoshimoto","creatorNameLang":"en"},{"creatorName":"Yu, Shimizu","creatorNameLang":"en"},{"creatorName":"Kosuke, Yoshida","creatorNameLang":"en"},{"creatorName":"Shigeru, Toki","creatorNameLang":"en"},{"creatorName":"Go, Okada","creatorNameLang":"en"},{"creatorName":"Masahiro, Takamura","creatorNameLang":"en"},{"creatorName":"Tetsuya, Yamamoto","creatorNameLang":"en"},{"creatorName":"Shinpei, Yoshimura","creatorNameLang":"en"},{"creatorName":"Yasumasa, Okamoto","creatorNameLang":"en"},{"creatorName":"Shigeto, Yamawaki","creatorNameLang":"en"},{"creatorName":"Noriaki, Yahata","creatorNameLang":"en"},{"creatorName":"Kenji, Doya","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11135936","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"We propose a novel approach for the dimension reduction of high dimensional data to make the data available for conventional statistical evaluations. Our method is based on nonparametric multiple Gaussian clustering, in which we assume that in each cluster block, the instances follow an independent and identically (i.i.d.) univariate Gaussian distribution. We show theoretically that our model can fit multivariate Gaussian distributions with exchangeable features. We further show how the clusters derived with this specific model can be used to effectively reduce the dimension of data taking into account associations between attributes. Finally, we demonstrate our approach in an application to resting state functional magnetic resonance imaging (fMRI) data, which implies subtypes of depression may be characterized by the treatment effect of antidepressant drug SSRI.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We propose a novel approach for the dimension reduction of high dimensional data to make the data available for conventional statistical evaluations. Our method is based on nonparametric multiple Gaussian clustering, in which we assume that in each cluster block, the instances follow an independent and identically (i.i.d.) univariate Gaussian distribution. We show theoretically that our model can fit multivariate Gaussian distributions with exchangeable features. We further show how the clusters derived with this specific model can be used to effectively reduce the dimension of data taking into account associations between attributes. Finally, we demonstrate our approach in an application to resting state functional magnetic resonance imaging (fMRI) data, which implies subtypes of depression may be characterized by the treatment effect of antidepressant drug SSRI.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告知能システム（ICS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2014-07-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2014-ICS-176"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-01-21T10:56:27.075388+00:00","created":"2025-01-18T23:47:28.913267+00:00","links":{},"id":102150}