{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T12:28:08Z","timestamp":1764332888766,"version":"3.41.2"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/iwobi47054.2019.9114411","type":"proceedings-article","created":{"date-parts":[[2020,6,11]],"date-time":"2020-06-11T16:50:56Z","timestamp":1591894256000},"page":"000001-000006","source":"Crossref","is-referenced-by-count":16,"title":["AF-DBSCAN: An unsupervised Automatic Fuzzy Clustering method based on DBSCAN approach"],"prefix":"10.1109","author":[{"given":"Sihem","family":"Jebari","sequence":"first","affiliation":[{"name":"Institut Suprieur d'Informatique du Kef,Kef,Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abir","family":"Smiti","sequence":"additional","affiliation":[{"name":"LARODEC, Institut Suprieur de Gestion de Tunis,Tunis,Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aymen","family":"Louati","sequence":"additional","affiliation":[{"name":"Institut Suprieur d'Informatique du Kef,Kef,Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"459","article-title":"Image segmentation based on ant colony optimization and kmeans clustering","author":"zhao","year":"0","journal-title":"IEEE International Conference on Automation and Logistics"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2006.10.022"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2012.6252919"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCIE.2009.5223810"},{"key":"ref14","first-page":"493","article-title":"Wheat cultivar classifications based on tabu search and fuzzy c-means clustering algorithm","author":"lin","year":"0","journal-title":"4th International Conference on Computational and Information Sciences (ICCIS)"},{"key":"ref15","first-page":"876","article-title":"Fuzzy tabu search method for the clustering problem","author":"xu","year":"0","journal-title":"Proc International Conference on Machine Learning and Cybernetics"},{"key":"ref16","first-page":"114","article-title":"An genetic based fuzzy approach for density based clustering by using k-means","volume":"2","author":"tiwari","year":"2016","journal-title":"International Journal of Scientific Research and Engineering Trends"},{"key":"ref17","article-title":"An efficient dbscan using genetic algorithm based clustering","volume":"5","author":"sharma","year":"2014","journal-title":"International Journal of Scientific and Engineering Research"},{"journal-title":"Coid Clustering outliers and internal detection approach for case base maintenance","year":"2010","author":"smiti","key":"ref18"},{"key":"ref4","article-title":"Introduction to fuzzy logic","author":"dernoncourt","year":"0","journal-title":"ResearchGate 2013"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.21236\/AD0608981"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/11890393_10"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2009.06.012"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12145-6_10"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/INES.2012.6249802"},{"key":"ref2","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial data sets with noise","author":"ester","year":"0","journal-title":"Proceedings of the International Conference on Knowledge Discovery and Data Mining"},{"journal-title":"Practical guide to cluster analysis in R Unsupervised machine learning","year":"2017","author":"kassambra","key":"ref1"},{"key":"ref9","first-page":"2319","article-title":"Autoepsdbscan: Dbscan with eps automatic for large dataset","volume":"2","author":"gaonkar","year":"2013","journal-title":"ISSN (Print)"}],"event":{"name":"2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","start":{"date-parts":[[2019,7,3]]},"location":"Budapest, Hungary","end":{"date-parts":[[2019,7,5]]}},"container-title":["2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9109009\/9114388\/09114411.pdf?arnumber=9114411","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T19:44:57Z","timestamp":1753731897000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9114411\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/iwobi47054.2019.9114411","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}