{"created":"2023-05-15T16:43:36.839682+00:00","id":19021,"links":{},"metadata":{"_buckets":{"deposit":"f00373e1-f140-4a82-be09-9140701c878c"},"_deposit":{"created_by":2,"id":"19021","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"19021"},"status":"published"},"_oai":{"id":"oai:nagasaki-u.repo.nii.ac.jp:00019021","sets":["14:21"]},"author_link":["78106","78104","78107","78105","78109","78108"],"item_2_alternative_title_19":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"A clustering method based on a self-organaizing map with maximum distance of k neighbors"}]},"item_2_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2008-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"10","bibliographicPageEnd":"1623","bibliographicPageStart":"1618","bibliographicVolumeNumber":"62","bibliographic_titles":[{"bibliographic_title":"映像情報メディア学会誌"},{"bibliographic_title":"Journal of the Institute of Image Information and Television Engineers","bibliographic_titleLang":"en"}]}]},"item_2_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Clustering methods, which are based on Self-Organaizing Map, can not precisely classify data when noise data is included. We describe a clustering method that can precisely classify data even when noise data are included.","subitem_description_type":"Abstract"}]},"item_2_description_63":{"attribute_name":"引用","attribute_value_mlt":[{"subitem_description":"映像情報メディア学会誌, 62(10), pp.1618-1623; 2008","subitem_description_type":"Other"}]},"item_2_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"78107","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Imamura, Hiroki"}]},{"nameIdentifiers":[{"nameIdentifier":"78108","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Fujimura, Makoto"}]},{"nameIdentifiers":[{"nameIdentifier":"78109","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Kuroda, Hideo"}]}]},"item_2_publisher_33":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"映像情報メディア学会"}]},"item_2_relation_42":{"attribute_name":"関係URI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"http://ci.nii.ac.jp/naid/110006937671/"}]}]},"item_2_source_id_10":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10588970","subitem_source_identifier_type":"NCID"}]},"item_2_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"13426907","subitem_source_identifier_type":"ISSN"}]},"item_2_version_type_16":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"今村, 弘樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤村, 誠"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"黒田, 英夫"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-12-23"}],"displaytype":"detail","filename":"JIIITE62_1618.pdf","filesize":[{"value":"1.0 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"JIIITE62_1618.pdf","url":"https://nagasaki-u.repo.nii.ac.jp/record/19021/files/JIIITE62_1618.pdf"},"version_id":"13c47691-0500-4449-9c44-7ee9bb9e4d91"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"クラスタリング","subitem_subject_scheme":"Other"},{"subitem_subject":"自己組織化マップ","subitem_subject_scheme":"Other"},{"subitem_subject":"ノイズ","subitem_subject_scheme":"Other"},{"subitem_subject":"ロバスト性","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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"k近傍の最大距離に基づくノイズにロバストな自己組織化マップに基づくクラスタリング手法","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"k近傍の最大距離に基づくノイズにロバストな自己組織化マップに基づくクラスタリング手法"}]},"item_type_id":"2","owner":"2","path":["21"],"pubdate":{"attribute_name":"公開日","attribute_value":"2009-01-16"},"publish_date":"2009-01-16","publish_status":"0","recid":"19021","relation_version_is_last":true,"title":["k近傍の最大距離に基づくノイズにロバストな自己組織化マップに基づくクラスタリング手法"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-05-16T03:34:44.821375+00:00"}