{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00196953","sets":["6504:9795:9801"]},"path":["9801"],"owner":"6748","recid":"196953","title":["k-meansのための初期値外れ値を考慮した初期値設定手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"26cfdaaf-d4bc-4675-a62e-8daad1bc7d21"},"_deposit":{"id":"196953","pid":{"type":"depid","value":"196953","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"k-meansのための初期値外れ値を考慮した初期値設定手法の提案","author_link":["471978","471976","471977"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"k-meansのための初期値外れ値を考慮した初期値設定手法の提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2019-02-28","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"青学大"},{"subitem_text_value":"青学大"},{"subitem_text_value":"青学大"}]},"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/196953/files/IPSJ-Z81-4U-03.pdf","label":"IPSJ-Z81-4U-03.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-28"}],"format":"application/pdf","filename":"IPSJ-Z81-4U-03.pdf","filesize":[{"value":"284.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"9c80b31a-4aee-4009-98cd-faf032649207","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"田口, 隼平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西垣, 貴央"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小野田, 崇"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"KKZは観測されたデータの中で最も離れたデータ同士をk-meansの初期値とする方法である。最も離れたデータ同士を初期値とすることで、生成されるクラスタのクラスタ間分散が大きくなることを期待できる。しかし、KKZが初期値としての外れ値を選択した場合、生成されたクラスタのクラスタ内分散が大きくなってしまう。本報告ではこの問題を解決する方法を提案する。提案手法はMT法の考えを用いて、全データの平均からのマハラノビス距離が4か9を超えたデータを初期値から避けてKKZを行う。提案手法の有効性を検証するために、複数のデータに提案手法を適用し、従来の初期値選択手法との比較を行う。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"458","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"457","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"updated":"2025-01-19T22:34:32.982967+00:00","created":"2025-01-19T01:01:26.791000+00:00","links":{},"id":196953}