{"created":"2023-06-19T07:35:13.946513+00:00","id":719,"links":{},"metadata":{"_buckets":{"deposit":"bc7afd67-a6a2-484c-93f8-7379b3188819"},"_deposit":{"created_by":3,"id":"719","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"719"},"status":"published"},"_oai":{"id":"oai:mejiro.repo.nii.ac.jp:00000719","sets":["1:18:78"]},"author_link":["2054","2056","2053","2055"],"item_3_biblio_info_12":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2003-03","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"50","bibliographicPageStart":"43","bibliographicVolumeNumber":"(1)","bibliographic_titles":[{"bibliographic_title":"目白大学経営学研究"},{"bibliographic_title":"Mejiro journal of management","bibliographic_titleLang":"en"}]}]},"item_3_description_10":{"attribute_name":"抄録(日)","attribute_value_mlt":[{"subitem_description":"本論文では,対象に関する多変量データが与えられ,かつ,対象がある基準でいくつかのクラスタに分割可能な場合について,多次元尺度構成法(MDS)とProcrustes変換を併用した解析法を提案する.各クラスタについて,所属する対象を代表する値(例えば,平均値)を1つ定める.この代表値にMDSを適用することにより,代表値を表す点を低次元のユークリッド空間上に付置する.さらに,Procrustes変換を用い,全データを代表値が付置された空間に射影し,射影されたデータの共分散行列によって,代表値を表す点の周りに確率楕円を描画する.この確率楕円でクラスタ内のデータの広がりを低次元に再現する.","subitem_description_type":"Other"}]},"item_3_description_15":{"attribute_name":"表示順","attribute_value_mlt":[{"subitem_description":"8","subitem_description_type":"Other"}]},"item_3_description_16":{"attribute_name":"アクセション番号","attribute_value_mlt":[{"subitem_description":"KJ00004766384","subitem_description_type":"Other"}]},"item_3_description_2":{"attribute_name":"ページ属性","attribute_value_mlt":[{"subitem_description":"P","subitem_description_type":"Other"}]},"item_3_source_id_1":{"attribute_name":"雑誌書誌ID","attribute_value_mlt":[{"subitem_source_identifier":"AA11843415","subitem_source_identifier_type":"NCID"}]},"item_3_source_id_19":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1348-5776","subitem_source_identifier_type":"ISSN"}]},"item_3_text_6":{"attribute_name":"著者所属(日)","attribute_value_mlt":[{"subitem_text_value":"目白大学経営学部"},{"subitem_text_value":"目白大学経営学部"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"橋口, 博樹"},{"creatorName":"ハシグチ, ヒロキ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"2053","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"宿久, 洋"},{"creatorName":"ヤドヒサ, ヒロシ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"2054","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Hashiguchi, Hiroki","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"2055","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Yadohisa, Hiroshi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"2056","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-10-20"}],"displaytype":"detail","filename":"KJ00004766384.pdf","filesize":[{"value":"389.7 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"KJ00004766384.pdf","url":"https://mejiro.repo.nii.ac.jp/record/719/files/KJ00004766384.pdf"},"version_id":"12680c0e-0caa-43e0-9887-35019d67640b"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"多次元尺度構成法(MDS)","subitem_subject_scheme":"Other"},{"subitem_subject":"Procrustes変換","subitem_subject_scheme":"Other"},{"subitem_subject":"確率楕円","subitem_subject_scheme":"Other"},{"subitem_subject":"固有値・固有ベクトル","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"クラスタリングされた大量データの低次元表示法","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"クラスタリングされた大量データの低次元表示法"},{"subitem_title":"An Integrated Method for Visualizing Categorical Data via Multidimensional Scaling and Procrustes Transformation","subitem_title_language":"en"}]},"item_type_id":"3","owner":"3","path":["78"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-10-20"},"publish_date":"2017-10-20","publish_status":"0","recid":"719","relation_version_is_last":true,"title":["クラスタリングされた大量データの低次元表示法"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-06-19T08:09:06.127212+00:00"}