{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,12,27]],"date-time":"2023-12-27T11:51:14Z","timestamp":1703677874582},"reference-count":0,"publisher":"Sciedu Press","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AIR"],"abstract":"<jats:p>Multiobjective clustering techniques have been used to simultaneously consider several complementary aspects of clustering\u00a0quality. They optimize two or more cluster validity indices simultaneously, they lead to high-quality results, and have emerged as\u00a0attractive and robust alternatives for solving clustering problems. This paper provides a brief review of bio-Inspired multiobjective\u00a0clustering, and proposes a bee-inspired multiobjective optimization (MOO) algorithm, named cOptBees-MO, to solve multiobjective\u00a0data clustering problems. In its survey part, a brief tutorial on MOO and multiobjective clustering optimization (MOCO)\u00a0is presented, followed by a review of the main works in the area. Particular attention is given to the many objective functions\u00a0used in MOCO. To evaluate the performance of the algorithm it was executed for various datasets and the results presented high\u00a0quality clusters, diverse solutions an the automatic determination of a suitable number of clusters.<\/jats:p>","DOI":"10.5430\/air.v6n2p10","type":"journal-article","created":{"date-parts":[[2017,3,27]],"date-time":"2017-03-27T08:00:49Z","timestamp":1490601649000},"page":"10","source":"Crossref","is-referenced-by-count":3,"title":["Bio-inspired multiobjective clustering optimization: A survey and a proposal"],"prefix":"10.5430","volume":"6","author":[{"given":"Danilo","family":"Cunha","sequence":"first","affiliation":[]},{"given":"D\u00e1vila","family":"Cruz","sequence":"additional","affiliation":[]},{"given":"Alexandre","family":"Politi","sequence":"additional","affiliation":[]},{"given":"Leandro Nunes de","family":"Castro","sequence":"additional","affiliation":[]},{"given":"Renato Dourado","family":"Maia","sequence":"additional","affiliation":[]}],"member":"3394","published-online":{"date-parts":[[2017,3,27]]},"container-title":["Artificial Intelligence Research"],"original-title":[],"link":[{"URL":"http:\/\/www.sciedu.ca\/journal\/index.php\/air\/article\/viewFile\/10658\/6919","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/www.sciedu.ca\/journal\/index.php\/air\/article\/viewFile\/10658\/6919","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,3,27]],"date-time":"2017-03-27T08:00:49Z","timestamp":1490601649000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.sciedu.ca\/journal\/index.php\/air\/article\/view\/10658"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3,27]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2017,2,27]]}},"URL":"https:\/\/doi.org\/10.5430\/air.v6n2p10","relation":{},"ISSN":["1927-6982","1927-6974"],"issn-type":[{"value":"1927-6982","type":"electronic"},{"value":"1927-6974","type":"print"}],"subject":[],"published":{"date-parts":[[2017,3,27]]}}}