{"created":"2021-03-01T07:09:46.637489+00:00","id":48956,"links":{},"metadata":{"_buckets":{"deposit":"20ce5c04-e9a4-44a1-a39f-151232dbabe9"},"_deposit":{"id":"48956","owners":[],"pid":{"revision_id":0,"type":"depid","value":"48956"},"status":"published"},"_oai":{"id":"oai:repository.dl.itc.u-tokyo.ac.jp:00048956","sets":["34:95:96","9:10:15"]},"item_2_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2000-01-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"35","bibliographicPageStart":"27","bibliographicVolumeNumber":"E83-D","bibliographic_titles":[{"bibliographic_title":"IEICE TRANSACTIONS on Information and Systems"}]}]},"item_2_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This paper surveys recent progress in the investigation of the underlying discrete proximity structures of geometric clustering with respect to the divergence in information geometry. Geometric clustering with respect to the divergence provides powerful unsupervised learning algorithms, and can be applied to classifying and obtaining generalizations of complex objects represented in the feature space. The proximity relation, defined by the Voronoi diagram by the divergence, plays an important role in the design and analysis of such algorithms.","subitem_description_type":"Abstract"}]},"item_2_description_6":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"INVITED PAPER (Special Issue on Surveys on Discovery Science)","subitem_description_type":"Other"}]},"item_2_publisher_20":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Institute of Electronics, Information and Communication Engineers"}]},"item_2_relation_25":{"attribute_name":"関係URI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://search.ieice.org/","subitem_relation_type_select":"URI"}}]},"item_2_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"copyright©2000 IEICE"}]},"item_2_select_14":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher"}]},"item_2_text_4":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Department of Information Science, University of Tokyo"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"IMAI, Hiroshi"}],"nameIdentifiers":[{"nameIdentifier":"145475","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"INABA, Mary"}],"nameIdentifiers":[{"nameIdentifier":"145476","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":"2017-12-15"}],"displaytype":"detail","filename":"Divergence-Based Geometric Clustering and Its Underlying Discrete Proximity Structures 2000.pdf","filesize":[{"value":"358.2 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"Divergence-Based Geometric Clustering and Its Underlying Discrete Proximity Structures 2000.pdf","url":"https://repository.dl.itc.u-tokyo.ac.jp/record/48956/files/Divergence-Based Geometric Clustering and Its Underlying Discrete Proximity Structures 2000.pdf"},"version_id":"ba80b161-6554-4892-be52-4e6b1be89985"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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":"Divergence-Based Geometric Clustering and Its Underlying Discrete Proximity Structures","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Divergence-Based Geometric Clustering and Its Underlying Discrete Proximity Structures"}]},"item_type_id":"2","owner":"1","path":["15","96"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-12-14"},"publish_date":"2017-12-14","publish_status":"0","recid":"48956","relation_version_is_last":true,"title":["Divergence-Based Geometric Clustering and Its Underlying Discrete Proximity Structures"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2022-12-19T04:23:39.115493+00:00"}