{"created":"2025-02-18T01:37:31.355447+00:00","id":2000841,"links":{},"metadata":{"_buckets":{"deposit":"dc94d3e9-d180-4896-9323-6cfa1eb58b7a"},"_deposit":{"created_by":41,"id":"2000841","owners":[41],"pid":{"revision_id":0,"type":"depid","value":"2000841"},"status":"published"},"_oai":{"id":"oai:hiroshima.repo.nii.ac.jp:02000841","sets":["1730444917621"]},"author_link":[],"item_1617186331708":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_title":"Self-Organized Similarity based Kernel Fuzzy Clustering Model and Its Applications","subitem_title_language":"en"}]},"item_1617186419668":{"attribute_name":"Creator","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kuwata, Tomoyuki","creatorNameLang":"en"}],"familyNames":[{"familyName":"Kuwata","familyNameLang":"en"}],"givenNames":[{"givenName":"Tomoyuki","givenNameLang":"en"}]},{"creatorNames":[{"creatorName":"Sato-Ilic, Mika","creatorNameLang":"en"}],"familyNames":[{"familyName":"Sato-Ilic","familyNameLang":"en"}],"givenNames":[{"givenName":"Mika","givenNameLang":"en"}]}]},"item_1617186476635":{"attribute_name":"Access Rights","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_1617186499011":{"attribute_name":"Rights","attribute_value_mlt":[{"subitem_rights":"(c) Copyright by IEEE SMC Hiroshima Chapter."}]},"item_1617186609386":{"attribute_name":"Subject","attribute_value_mlt":[{"subitem_subject":"500","subitem_subject_scheme":"NDC"}]},"item_1617186626617":{"attribute_name":"Description","attribute_value_mlt":[{"subitem_description":"The purpose of this paper is to improve the performance of the kernel fuzzy clustering model by introducing a self-organized algorithm. A conventional kernel fuzzy clustering model is defined as a model which is an improved additive fuzzy clustering. The purpose of this conventional model is to obtain a clearer result by consideration of the interaction of clusters. This paper proposes a fuzzy clustering model based on the idea of self-organized dissimilarity between two objects.","subitem_description_language":"en"}]},"item_1617186643794":{"attribute_name":"Publisher","attribute_value_mlt":[{"subitem_publisher":"IEEE SMC Hiroshima Chapter"}]},"item_1617186702042":{"attribute_name":"Language","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_1617186920753":{"attribute_name":"Source Identifier","attribute_value_mlt":[{"subitem_source_identifier":"1883-3977","subitem_source_identifier_type":"ISSN"}]},"item_1617187024783":{"attribute_name":"Page Start","attribute_value_mlt":[{"subitem_start_page":"127"}]},"item_1617187056579":{"attribute_name":"Bibliographic Information","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2009-11","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"131","bibliographicPageStart":"127","bibliographic_titles":[{"bibliographic_title":"5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009"},{"bibliographic_title":"5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009"}]}]},"item_1617258105262":{"attribute_name":"Resource Type","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_1617265215918":{"attribute_name":"Version Type","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_1617353299429":{"attribute_name":"Relation","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://www.hil.hiroshima-u.ac.jp/iwcia/2009/","subitem_relation_type_select":"URI"}}]},"item_1617605131499":{"attribute_name":"File","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2023-03-18"}],"displaytype":"simple","filename":"B1109.pdf","filesize":[{"value":"305.2 KB"}],"mimetype":"application/pdf","url":{"objectType":"fulltext","url":"https://hiroshima.repo.nii.ac.jp/record/2000841/files/B1109.pdf"},"version_id":"ce7b1ac6-539d-4a17-90b0-5a70deb7cfea"}]},"item_1732771732025":{"attribute_name":"旧ID","attribute_value":"28448"},"item_title":"Self-Organized Similarity based Kernel Fuzzy Clustering Model and Its Applications","item_type_id":"40003","owner":"41","path":["1730444917621"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-03-18"},"publish_date":"2023-03-18","publish_status":"0","recid":"2000841","relation_version_is_last":true,"title":["Self-Organized Similarity based Kernel Fuzzy Clustering Model and Its Applications"],"weko_creator_id":"41","weko_shared_id":-1},"updated":"2025-02-18T02:53:26.137211+00:00"}