{"_buckets": {"deposit": "4466f560-da4c-4201-93cd-b6108ce7d6c5"}, "_deposit": {"id": "5077", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "5077"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5077"}, "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Optimizing Fuzzy Clustering With Differential Evolution Algorithm", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Clustering (or cluster analysis) aims toorganize a collection of data items into clusters,such that items within a cluster are more\u201csimilar\u201d to each other than they are to items inthe other clusters.Clustering is a typicalunsupervised learning technique for groupingsimilar data points. In hard clustering, data isdivided into distinct clusters, where each dataelement belongs to exactly one cluster but in fuzzyclustering (also referred to as soft clustering),data elements can belong to more than onecluster, and associated with each element is a setof membership levels. FCM can be easily trappedinto local optima and solution is sensitive toinitialization. Evolutionary algorithm can be usedfor optimizing of fuzzy clustering, one of them isDifferential Evolution Algorithm. Differentialevolution (DE) algorithm is a novel evolutionaryalgorithm (EA) for global optimization, where themutation operator is based on the distribution ofsolutions in the population. The proposed systemused the differential evolution for fuzzyclustering..Four type of UCI datasets are used forboth algorithms."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_name_i18n": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-18"}], "displaytype": "preview", "download_preview_message": "", "filename": "71_PDFsam_PSC_final proof.pdf", "filesize": [{"value": "244 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 244000, "url": {"url": "https://meral.edu.mm/record/5077/files/71_PDFsam_PSC_final proof.pdf"}, "version_id": "427aca24-62c4-49ff-ae0b-74bfe68ad327"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Eighth Local Conference on Parallel and Soft Computing", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Win, Soe Theint Theint"}, {"subitem_authors_fullname": "Aung, Khin Sandar"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_name_i18n": "Upload type", "attribute_value": "Publication"}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_name_i18n": "Publication type", "attribute_value": "Article"}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_name_i18n": "Publication date", "attribute_value": "2017-12-27"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/968"}, "item_title": "Optimizing Fuzzy Clustering With Differential Evolution Algorithm", "item_type_id": "21", "owner": "1", "path": ["1582963302567/1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005077", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-18"}, "publish_date": "2019-07-18", "publish_status": "0", "recid": "5077", "relation": {}, "relation_version_is_last": true, "title": ["Optimizing Fuzzy Clustering With Differential Evolution Algorithm"], "weko_shared_id": -1}