{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T20:26:40Z","timestamp":1773865600278,"version":"3.50.1"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2016,1,21]],"date-time":"2016-01-21T00:00:00Z","timestamp":1453334400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003141","name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","doi-asserted-by":"publisher","award":["258800"],"award-info":[{"award-number":["258800"]}],"id":[{"id":"10.13039\/501100003141","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003141","name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","doi-asserted-by":"publisher","award":["220522"],"award-info":[{"award-number":["220522"]}],"id":[{"id":"10.13039\/501100003141","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2017,8]]},"DOI":"10.1007\/s00521-016-2191-1","type":"journal-article","created":{"date-parts":[[2016,1,21]],"date-time":"2016-01-21T01:09:40Z","timestamp":1453338580000},"page":"2255-2275","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Improved multi-objective clustering with automatic determination of the number of clusters"],"prefix":"10.1007","volume":"28","author":[{"given":"Mar\u00eda-Guadalupe","family":"Mart\u00ednez-Pe\u00f1aloza","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Efr\u00e9n","family":"Mezura-Montes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicandro","family":"Cruz-Ram\u00edrez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"H\u00e9ctor-Gabriel","family":"Acosta-Mesa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Homero-Vladimir","family":"R\u00edos-Figueroa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,1,21]]},"reference":[{"key":"2191_CR1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-5184-0","volume-title":"Evolutionary algorithms for solving multi-objective problems","author":"CAC Coello","year":"2002","unstructured":"Coello CAC, Van Veldhuizen DA, Lamont GB (2002) Evolutionary algorithms for solving multi-objective problems. Kluwer Academic Publishers, New York"},{"key":"2191_CR2","doi-asserted-by":"crossref","DOI":"10.1007\/3-540-33019-4","volume-title":"Multi-objective machine learning","author":"Y Jin","year":"2006","unstructured":"Jin Y (ed) (2006) Multi-objective machine learning. Springer, Berlin, Heidelberg"},{"key":"2191_CR3","volume-title":"Multi-objective optimization using evolutionary algorithms","author":"K Deb","year":"2001","unstructured":"Deb K (2001) Multi-objective optimization using evolutionary algorithms. Chichester, London"},{"key":"2191_CR4","unstructured":"Cole RM (1998) Clustering with genetic algorithms. Western University, MSc Thesis"},{"issue":"3","key":"2191_CR5","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1109\/TEVC.2005.859371","volume":"10","author":"PCH Ma","year":"2006","unstructured":"Ma PCH, Chan KCC, Yao X, Chiu DKY (2006) An evolutionary clustering algorithm for gene expression microarray data analysis. IEEE Trans Evol Comput 10(3):296\u2013314","journal-title":"IEEE Trans Evol Comput"},{"key":"2191_CR6","doi-asserted-by":"crossref","unstructured":"Casillas A, Gonz\u00e1lez de Lena MT, Mart\u00ednez R (2003) Document clustering into an unknown number of clusters using a genetic algorithm. In: Matou\u0161ek V, Mautner P (eds) TSD 2003: text, speech and dialogue. 6th international conference on text speech and dialogue, \u010cesk\u00e9 Bud\u00e9jovice, September 2003. Lecture notes in computer science, vol 2807. Springer, Heidelberg, pp 43\u201349","DOI":"10.1007\/978-3-540-39398-6_7"},{"key":"2191_CR7","volume-title":"Introduction to Algorithms","author":"TH Cormen","year":"2001","unstructured":"Cormen TH, Leiserson CE, Rivest RL, Stein C (2001) Introduction to Algorithms. MIT Press, Massachusetts"},{"key":"2191_CR8","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1007\/BF02618467","volume":"9","author":"A Ferligoj","year":"1992","unstructured":"Ferligoj A, Batagelj V (1992) Direct multicriterion clustering. J Classif 9:43\u201361","journal-title":"J Classif"},{"key":"2191_CR9","doi-asserted-by":"crossref","unstructured":"Handl J, Knowles J (2004) Evolutionary multiobjective clustering. In: Yao X et al (eds) PPSN VIII: parallel problem solving from nature, Birmingham, September 2004. Lecture notes in computer science, vol 3242. Springer, Heidelberg, pp 1081\u20131091","DOI":"10.1007\/978-3-540-30217-9_109"},{"key":"2191_CR10","volume-title":"Multiobjective clustering with automatic determination of the number of clusters, Technical Report TR-COMPSYSBIO-2004-02","author":"J Handl","year":"2004","unstructured":"Handl J, Knowles J (2004) Multiobjective clustering with automatic determination of the number of clusters, Technical Report TR-COMPSYSBIO-2004-02. UMIST, Manchester, UK"},{"issue":"1","key":"2191_CR11","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1109\/TEVC.2006.877146","volume":"11","author":"J Handl","year":"2007","unstructured":"Handl J, Knowles J (2007) An evolutionary approach to multiobjective clustering. IEEE Trans Evol Comput 11(1):56\u201376","journal-title":"IEEE Trans Evol Comput"},{"key":"2191_CR12","first-page":"283","volume-title":"Proceedings of the genetic evolutionary computation conference","author":"DW Corne","year":"2001","unstructured":"Corne DW, Jerram NR, Knowles JD, Oates MJ (2001) PESA-II: Region-Based Selection in Evolutionary Multiobjective Optimization. In: Spector L, Goodman D et al (eds) Proceedings of the genetic evolutionary computation conference. Morgan Kaufmann, San Francisco, pp 283\u2013290"},{"issue":"2","key":"2191_CR13","doi-asserted-by":"crossref","first-page":"163","DOI":"10.3233\/IDA-2006-10205","volume":"10","author":"EE Korkmaz","year":"2006","unstructured":"Korkmaz EE, Du J, Alhajj R, Barker K (2006) Combining advantages of new chromosome representation scheme and multi-objective genetic algorithms for better clustering. J Intell Data Anal 10(2):163\u2013182","journal-title":"J Intell Data Anal"},{"key":"2191_CR14","doi-asserted-by":"crossref","unstructured":"Mukhopadhyay A, Maulik U, Bandyopadhyay S (2007) Multiobjective genetic fuzzy clustering of categorical attributes. In: Proceedings of the 10th international conference on Information Technology, Orissa, December 2007, IEEE Computer Society, pp 74\u201379","DOI":"10.1109\/ICIT.2007.13"},{"key":"2191_CR15","doi-asserted-by":"crossref","unstructured":"Ripon KSN, Tsang C-H, Kwong S, Ip M-K (2006) Multi-objective evolutionary clustering using variable-length real jumping genes genetic algorithm. In: Proceedings of the 18th international conference on Pattern Recognition (ICPR\u201906). IEEE Computer Society, vol 1, pp 1200\u20131203","DOI":"10.1109\/ICPR.2006.827"},{"issue":"8","key":"2191_CR16","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1016\/j.patrec.2009.09.011","volume":"31","author":"AK Jain","year":"2010","unstructured":"Jain AK (2010) Data clustering: 50 years beyond K-means. Pattern Recogn Lett 31(8):651\u2013666","journal-title":"Pattern Recogn Lett"},{"key":"2191_CR17","first-page":"269","volume-title":"Data mining and knowledge discovery handbook","author":"L Rokach","year":"2010","unstructured":"Rokach L (2010) A survey of clustering algorithms. In: Maimon O, Rokach L (eds) Data mining and knowledge discovery handbook. Springer, US, pp 269\u2013298"},{"key":"2191_CR18","unstructured":"Wilson RJ, Watkins JJ (1990) Graphs: an introductory approach: a first course in discrete mathematics. New York, USA"},{"key":"2191_CR19","doi-asserted-by":"crossref","unstructured":"Corne DW, Knowles JD, Oates MJ (2000) The Pareto envelope-based selection algorithm for multiobjective optimization. In: Schoenauer M, Deb K, Rudolph G et al (eds) Proceedings of the 6th international conference of parallel problem solving from nature (PPSN VI), Paris France, September 2000. Lecture notes in computer science, vol 1917. Springer, Heidelberg, pp 839\u2013848","DOI":"10.1007\/3-540-45356-3_82"},{"issue":"2","key":"2191_CR20","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist Multiobjective genetic algorithm: NSGA\u2013II. IEEE Trans Evol Comput 6(2):182\u2013197","journal-title":"IEEE Trans Evol Comput"},{"key":"2191_CR21","unstructured":"Zitzler E, Laumanns M, Thiele L (2001) SPEA2: improving the strength pareto evolutionary algorithm, technical report 103, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH), Zurich, Switzerland"},{"issue":"2\/4","key":"2191_CR22","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/S0045-7825(99)00389-8","volume":"186","author":"K Deb","year":"2000","unstructured":"Deb K (2000) An efficient constraint handling method for genetic algorithms. Comput Method Appl M 186(2\/4):311\u2013338","journal-title":"Comput Method Appl M"},{"key":"2191_CR23","unstructured":"Blake C, Merz C (1998) UCI repository of machine learning databases. http:\/\/www.ics.uci.edu\/mlearn\/MLRepository.html . Accessed 25 Mar 2014"},{"key":"2191_CR24","unstructured":"L\u00f3pez-Ib\u00e1\u00f1ez M, Dubois-Lacoste J (2003) The irace package: iterated race for automatic algorithm configuration. http:\/\/cran.rproject.org\/web\/packages\/irace\/index.html . Accessed 12 May 2013"},{"key":"2191_CR25","volume-title":"The irace package: s Report TR\/IRIDIA\/2011-004","author":"M L\u00f3pez-Ib\u00e1\u00f1ez","year":"2011","unstructured":"L\u00f3pez-Ib\u00e1\u00f1ez M, Dubois-Lacoste J, St\u00fctzle T, Birattari M (2011) The irace package: s Report TR\/IRIDIA\/2011-004. Universit\u00e9 Libre de Bruxelles, Belgium, IRIDIA"},{"issue":"1","key":"2191_CR26","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.swevo.2011.02.002","volume":"1","author":"J Derrac","year":"2011","unstructured":"Derrac J, Garc\u00eda S, Molina D, Francisco Herrera (2011) A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol Comput 1(1):3\u201318","journal-title":"Swarm Evol Comput"},{"issue":"2","key":"2191_CR27","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1109\/TSMCC.2008.2007252","volume":"39","author":"ER Hruschka","year":"2009","unstructured":"Hruschka ER, Campello RJGB, Freitas AA, de Carvalho ACPLF (2009) A survey of evolutionary algorithms for clustering. IEEE Trans Syst Man Cybern Syst 39(2):133\u2013155","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"1","key":"2191_CR28","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1109\/5326.923275","volume":"31","author":"S Bandyopadhyay","year":"2001","unstructured":"Bandyopadhyay S, Maulik U (2001) Nonparametric genetic clustering: comparison of validity indices. IEEE Trans Syst Man Cybern Syst 31(1):120\u2013125","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"5","key":"2191_CR29","doi-asserted-by":"crossref","first-page":"827","DOI":"10.1109\/TSMCC.2007.900666","volume":"37","author":"S Pan","year":"2007","unstructured":"Pan S, Cheng K (2007) Evolution-based tabu search approach to automatic clustering. IEEE Trans Syst Man Cybern Syst 37(5):827\u2013838","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"5","key":"2191_CR30","doi-asserted-by":"crossref","first-page":"662","DOI":"10.1109\/TEVC.2011.2169968","volume":"16","author":"A Arias-Monta\u00f1o","year":"2012","unstructured":"Arias-Monta\u00f1o A, Coello CAC, Mezura-Montes E (2012) Multiobjective evolutionary algorithms in aeronautical and aerospace engineering. IEEE Trans Evol Comput 16(5):662\u2013694","journal-title":"IEEE Trans Evol Comput"},{"issue":"6","key":"2191_CR31","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","volume":"11","author":"Q Zhang","year":"2007","unstructured":"Zhang Q, Li H (2007) MOEA\/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans Evol Comput 11(6):712\u2013731","journal-title":"IEEE Trans Evol Comput"},{"key":"2191_CR32","doi-asserted-by":"crossref","unstructured":"Pearson RK, Zylkin T, Schwaber JS, Gonye GE (2004) Quantitative evaluation of clustering results using computational negative controls. In: Proceedings of the 15th international conference on Data Mining (SIAM), Lake Buena Vista, Florida, pp 188\u2013199","DOI":"10.1137\/1.9781611972740.18"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-016-2191-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2191-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2191-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2191-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,3]],"date-time":"2019-09-03T17:44:30Z","timestamp":1567532670000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-016-2191-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,1,21]]},"references-count":32,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2017,8]]}},"alternative-id":["2191"],"URL":"https:\/\/doi.org\/10.1007\/s00521-016-2191-1","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,1,21]]}}}