{"_buckets": {"deposit": "86dae82a-e210-4dcb-98b5-b0c6aa7234d5"}, "_deposit": {"id": "5074", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "5074"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5074", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Comparative Analysis of K-means Algorithm and Fuzzy C-means Algorithm", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Data clustering is an important area ofdata mining. This is an unsupervised study wheredata of similar types are put into one cluster whiledata of another types are put into differentcluster.In K-means, data is divided into crispclusters, where each data point belongs to exactlyone cluster. In FCM, a point can belong to allgroups with different membership grades between0 and 1.This paper presents the comparison of theperformance analysis of K-means algorithm andFuzzy C-means (FCM) algorithm using twodatasets from UCI in terms of entropy andaverage computational time"}]}, "item_1583103108160": {"attribute_name": "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": "", "file_order": 0, "filename": "68_PDFsam_PSC_final proof.pdf", "filesize": [{"value": "136 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 136000.0, "url": {"url": "https://meral.edu.mm/record/5074/files/68_PDFsam_PSC_final proof.pdf"}, "version_id": "220bd9b6-1ad7-4cd2-b6cb-9399abb87b28"}]}, "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": "Zaw, Hnin Htet Htet"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2017-12-27"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/965"}, "item_title": "Comparative Analysis of K-means Algorithm and Fuzzy C-means Algorithm", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005074", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-18"}, "publish_date": "2019-07-18", "publish_status": "0", "recid": "5074", "relation": {}, "relation_version_is_last": true, "title": ["Comparative Analysis of K-means Algorithm and Fuzzy C-means Algorithm"], "weko_shared_id": -1}