{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T04:54:54Z","timestamp":1764996894231},"reference-count":61,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2011,1,13]],"date-time":"2011-01-13T00:00:00Z","timestamp":1294876800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"published-print":{"date-parts":[[2011,4]]},"DOI":"10.1007\/s10462-010-9195-5","type":"journal-article","created":{"date-parts":[[2011,1,12]],"date-time":"2011-01-12T04:19:54Z","timestamp":1294805994000},"page":"287-318","source":"Crossref","is-referenced-by-count":25,"title":["A review: accuracy optimization in clustering ensembles using genetic algorithms"],"prefix":"10.1007","volume":"35","author":[{"given":"Reza","family":"Ghaemi","sequence":"first","affiliation":[]},{"given":"Nasir bin","family":"Sulaiman","sequence":"additional","affiliation":[]},{"given":"Hamidah","family":"Ibrahim","sequence":"additional","affiliation":[]},{"given":"Norwati","family":"Mustapha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2011,1,13]]},"reference":[{"key":"9195_CR1","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1007\/978-0-387-44641-7_24","volume":"228","author":"M Analoui","year":"2006","unstructured":"Analoui M, Sadighian N (2006) Solving cluster ensemble problems by correlation\u2019s matrix & GA. IFIP Int Fed Inf Process 228: 227\u2013231","journal-title":"IFIP Int Fed Inf Process"},{"key":"9195_CR2","doi-asserted-by":"crossref","unstructured":"Azimi J, Abdoos M, Analoui M (2007) A new efficient approach in clustering ensembles. In: Proceedings of the 8th international conference on intellignt data engineering and automated learning. Lecture Note Computer Science, vol 4881, pp 395\u2013405","DOI":"10.1007\/978-3-540-77226-2_41"},{"key":"9195_CR3","doi-asserted-by":"crossref","unstructured":"Azimi J, Mohammadi M, Movaghar A, Analoui M (2007) Clustering ensembles using genetic algorithm. In: The international workshop on computer architecture for machine perception and sensing, IEEE, pp 119\u2013123","DOI":"10.1109\/CAMP.2007.4350366"},{"key":"9195_CR4","doi-asserted-by":"crossref","unstructured":"Bouchachia A (2005) Learning with hybrid data. In: Proceedings of the fifth international conference on hybrid intelligent systems. IEEE Computer Society","DOI":"10.1109\/ICHIS.2005.68"},{"key":"9195_CR5","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1016\/S0377-2217(00)00320-9","volume":"135","author":"YC Chiou","year":"2001","unstructured":"Chiou YC, Lan LW (2001) Genetic clustering algorithms. EJOR Eur J Oper Res 135: 413\u2013427","journal-title":"EJOR Eur J Oper Res"},{"key":"9195_CR6","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, Norwell"},{"key":"9195_CR7","unstructured":"Corne DW, Jerram NR, Knowles JD, Oates MJ (2001) PESA-II: region-based selection in evolutionary multi-objective optimization. In: Proceedings of the genetic and evolutionary computation conference, pp 283\u2013290"},{"key":"9195_CR8","unstructured":"Deb K (2001) Multi-objective optimization using evolutionary algorithms. ISBN: 047187339X, Wiley"},{"key":"9195_CR9","unstructured":"Demiriz A, Bennett KP, Embrechts MJ (1999) Semi-supervised clustering using genetic algorithms. Artif Neural Netw Eng J 809\u2013814"},{"issue":"4","key":"9195_CR10","first-page":"97","volume":"18","author":"TG Dietterich","year":"1997","unstructured":"Dietterich TG (1997) Machine-learning research. AI Mag J 18(4): 97\u2013136","journal-title":"AI Mag J"},{"key":"9195_CR11","doi-asserted-by":"crossref","unstructured":"Du J, Korkmaz E, Alhajj R, Barker K (2004) Novel clustering approach that employs genetic algorithm with new representation scheme and multiple objectives. Data Warehousing Knowl Discov J, Springer, pp 219\u2013228","DOI":"10.1007\/978-3-540-30076-2_22"},{"key":"9195_CR12","doi-asserted-by":"crossref","unstructured":"Dudoit S, Fridlyand J (2003) Bagging to improve the accuracy of a clustering procedure. Bioinf J, Oxford University Press, vol 19, no 9, pp 1090\u20131099","DOI":"10.1093\/bioinformatics\/btg038"},{"key":"9195_CR13","doi-asserted-by":"crossref","unstructured":"Faceli K, De Carvalho A, De Souto M (2007) Multi-objective clustering ensemble with prior knowledge. Adv Bioinf Comput Biol, Springer, pp 34\u201345","DOI":"10.1007\/978-3-540-73731-5_4"},{"key":"9195_CR14","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1162\/evco.1994.2.2.123","volume":"2","author":"E Falkenauer","year":"1994","unstructured":"Falkenauer E (1994) A new representation and operators for genetic algorithms applied to grouping problems. Evol Comput 2: 123\u2013144","journal-title":"Evol Comput"},{"key":"9195_CR15","unstructured":"Falkenauer E (1998) Genetic algorithms and grouping problems. Wiley, USA, ISBN: 0471971502"},{"key":"9195_CR16","unstructured":"Fern XZ, Brodley CE (2003) Random projection for high dimensional data clustering: a cluster ensemble approach. In: Proceedings of the 20th international conference on machine learning (ICML), vol 20, no 1, pp 186\u2013193"},{"key":"9195_CR17","unstructured":"Fern XZ, Brodley CE (2004) Solving cluster ensemble problems by bipartite graph partitioning. In: Proceedings of the 21st international conference on machine learning. ACM, p 36"},{"key":"9195_CR18","doi-asserted-by":"crossref","unstructured":"Fischer B, Buhmann JM (2003) Bagging for path-based clustering. IEEE Trans Pattern Anal Mach Intell 25(11)","DOI":"10.1109\/TPAMI.2003.1240115"},{"key":"9195_CR19","doi-asserted-by":"crossref","unstructured":"Fischer B, Buhmann JM (2003) Path-based clustering for grouping of smooth curves and texture segmentation. IEEE Trans Pattern Anal Mach Intell 25(4)","DOI":"10.1109\/TPAMI.2003.1190577"},{"key":"9195_CR20","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/S0167-8655(99)00133-6","volume":"21","author":"P Franti","year":"2000","unstructured":"Franti P (2000) Genetic algorithm with deterministic crossover for vector quantization. Pattern Recogn Lett J 21: 61\u201368","journal-title":"Pattern Recogn Lett J"},{"key":"9195_CR21","first-page":"309","volume-title":"Finding consistent cluster in data partitions","author":"ALN Fred","year":"2001","unstructured":"Fred ALN (2001) Finding consistent cluster in data partitions. Springer, Berlin, pp 309\u2013318"},{"key":"9195_CR22","first-page":"835","volume":"4","author":"ALN Fred","year":"2002","unstructured":"Fred ALN, Jain AK (2002) Data clustering using evidence accumulation. Pattern Recogn J 4: 835\u2013850","journal-title":"Pattern Recogn J"},{"key":"9195_CR23","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1109\/TPAMI.2005.113","volume":"27","author":"A Fred","year":"2005","unstructured":"Fred A, Jain AK (2005) Combining multiple clusterings using evidence accumulation. IEEE Trans Pattern Anal Mach Intell 27: 835\u2013850","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9195_CR24","unstructured":"Gablentz V, Koppen M, Dimitriadou E (2000) Robust clustering by evolutionary computation. In: Proceedings of the fifth online world conference soft computing in industrial applications (WSC5)"},{"key":"9195_CR25","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.patrec.2003.09.012","volume":"25","author":"G Garai","year":"2004","unstructured":"Garai G, Chaudhuri BB (2004) A novel genetic algorithm for automatic clustering. Pattern Recogn Lett J 25: 173\u2013187","journal-title":"Pattern Recogn Lett J"},{"key":"9195_CR26","unstructured":"Ghaemi R, Sulaiman MN, Ibrahim H, Mustapha N (2009) A survey: clustering ensembles techniques. In: Proceedings of the international conference on computer, electrical, and systems science, and engineering (CESSE), vol 38, pp 644\u2013653"},{"key":"9195_CR27","doi-asserted-by":"crossref","unstructured":"Handl J, Knowles J (2005) Exploiting the trade-off\u2014the benefits of multiple objectives in data clustering. In: Proceedings of the third international conference on evolutionary multi-criterion optimization. Springer, pp 547\u2013560","DOI":"10.1007\/978-3-540-31880-4_38"},{"key":"9195_CR28","doi-asserted-by":"crossref","unstructured":"Handl J, Knowles J (2006) Multi-objective clustering and cluster validation. Multi Object Mach Learn J, Springer, pp 12\u201347","DOI":"10.1007\/3-540-33019-4_2"},{"key":"9195_CR29","unstructured":"Haupt RL, Haupt SE (1998) Practical genetic algorithms. ISBN 0-471-45565-2, Wiley Online Library"},{"key":"9195_CR30","doi-asserted-by":"crossref","unstructured":"Hong Y, Kwong S (2008) To combine steady-state genetic algorithm and ensemble learning for data clustering. Pattern Recogn Lett J, Elsevier, vol 29, no 9, pp 1416\u20131423","DOI":"10.1016\/j.patrec.2008.02.017"},{"issue":"9","key":"9195_CR31","doi-asserted-by":"crossref","first-page":"2742","DOI":"10.1016\/j.patcog.2008.03.007","volume":"41","author":"Y Hong","year":"2008","unstructured":"Hong Y, Kwong S, Chang Y, Ren Q (2008) Unsupervised feature selection using clustering ensembles and population based incremental learning algorithm. Pattern Recogn Soc 41(9): 2742\u20132756","journal-title":"Pattern Recogn Soc"},{"issue":"2","key":"9195_CR32","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 A (2009) A survey of evolutionary algorithms for clustering. IEEE Trans Syst Man Cybern C Appl Rev 39(2): 133\u2013155","journal-title":"IEEE Trans Syst Man Cybern C Appl Rev"},{"issue":"3","key":"9195_CR33","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1145\/331499.331504","volume":"31","author":"AK Jain","year":"1999","unstructured":"Jain AK, Murty MN, Flynn P (1999) Data clustering: a review. ACM Comput Surv 31(3): 264\u2013323","journal-title":"ACM Comput Surv"},{"key":"9195_CR34","unstructured":"Jones DR, Beltramo MA (1991) Solving partitioning problems with genetic algorithm. In: Proceedings of the fourth international conference on genetic algorithms. California University, Morgan Kaufmann Publishers, pp 442\u2013449"},{"key":"9195_CR35","doi-asserted-by":"crossref","unstructured":"Karypis G, Kumar V (1998) A fast and high quality multilevel scheme for partitioning irregular graphs. SIAM J Sci Comput 359\u2013392","DOI":"10.1137\/S1064827595287997"},{"key":"9195_CR36","unstructured":"Kellam P, Liu X, Martin NJ, Orengo C, Swift S, Tucker A (2001) Comparing, contrasting and combining clusters in viral gene expression data. In: Proceedings of the sixth workshop on intelligent data analysis in medicine and pharmocology, pp 56\u201362"},{"issue":"3","key":"9195_CR37","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1109\/3477.764879","volume":"29","author":"K Krishna","year":"2002","unstructured":"Krishna K, Murty M (2002) Genetic K-means algorithm. IEEE Trans Syst Man Cybern B 29(3): 433\u2013439","journal-title":"IEEE Trans Syst Man Cybern B"},{"issue":"1","key":"9195_CR38","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1109\/5326.661099","volume":"28","author":"LI Kuncheva","year":"2002","unstructured":"Kuncheva LI, Bezdek JC (2002) Nearest prototype classification: custering, genetic algorithms or random search?. \u00a0\u00a0IEEE Trans Syst Man Cybern C Appl Rev 28(1): 160\u2013164","journal-title":"\u00a0\u00a0IEEE Trans Syst Man Cybern C Appl Rev"},{"key":"9195_CR39","doi-asserted-by":"crossref","unstructured":"Kuncheva LI, Hadjitodorov ST, Todorova LP (2006) Experimental comparison of cluster ensemble methods. In: Proceedings of FUSION, Citeseer, pp 105\u2013115","DOI":"10.1109\/ICIF.2006.301614"},{"issue":"1","key":"9195_CR40","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1186\/1471-2105-5-172","volume":"5","author":"Y Lu","year":"2004","unstructured":"Lu Y, Li S, Fotouhi F, Deng Y, Brown SJ (2004) Incremental genetic K-means algorithm and its application in gene expression data analysis. BMC Bioinform J 5(1): 172","journal-title":"BMC Bioinform J"},{"key":"9195_CR41","unstructured":"Luo H, Jing F, Xie X (2007) Combining multiple clusterings using information theory-based genetic algorithm. In: International conference on computational intelligence and security, IEEE, vol 1, pp 84\u201389"},{"key":"9195_CR42","doi-asserted-by":"crossref","unstructured":"Martnez-Otzeta JM, Sierra B, Lazkano E, Astigarraga A(2006) Classifier hierarchy learning by means of genetic algorithms. Pattern Recogn Lett J, Elsevier, vol 27, no 16, pp 1998\u20132004","DOI":"10.1016\/j.patrec.2006.06.001"},{"key":"9195_CR43","unstructured":"Minaei-Bidgoli B, Topchy A, Punch WF (2004) A comparison of resampling methods for clustering ensembles. In: Proceedings of the international conference on machine learning: models, technologies and applications, Michigan State University, Citeseer"},{"key":"9195_CR44","doi-asserted-by":"crossref","first-page":"1439","DOI":"10.1016\/j.patrec.2004.05.007","volume":"25","author":"S Mitra","year":"2004","unstructured":"Mitra S (2004) An evolutionary rough portative clustering. Pattern Recogn Lett J 25: 1439\u20131449","journal-title":"Pattern Recogn Lett J"},{"key":"9195_CR45","doi-asserted-by":"crossref","unstructured":"Mohammadi M, Nikanjam A, Rahmani A (2008) An evolutionary approach to clustering ensemble. In: Fourth international conference on natural computation, IEEE, vol 3, pp 77\u201382","DOI":"10.1109\/ICNC.2008.493"},{"key":"9195_CR46","unstructured":"Ng A, Jordan M, Weiss Y (2001) On spectral clustering: analysis and an algorithm. Adv Neural Inf Process Syst 849\u2013856"},{"key":"9195_CR47","doi-asserted-by":"crossref","unstructured":"Ozyer T, Alhajj R (2009) Parallel clustering of high dimensional data by integrating multi-objective genetic algorithm with divide and conquer. Appl Intell J, Springer, vol 31, no 3, pp 318\u2013331","DOI":"10.1007\/s10489-008-0129-8"},{"key":"9195_CR48","unstructured":"Qian Y, Suen CY (2000) Clustering combination method. In: Proceedings of the fifteen international conference on pattern recognition, vol 2, pp 732\u2013735"},{"key":"9195_CR49","doi-asserted-by":"crossref","unstructured":"Ramanathan K, Guan SU (2006) Recursive self-organizing maps with hybrid clustering. In: IEEE conference on cybernetics and intelligent systems, pp 1\u20136","DOI":"10.1109\/ICCIS.2006.252268"},{"key":"9195_CR50","doi-asserted-by":"crossref","unstructured":"Sheng W, Tucker A, Liu X (2004) Clustering with niching genetic K-means algorithm. In: Proceeding genetic and evolutionary computation conference, Springer, pp 162\u2013173","DOI":"10.1007\/978-3-540-24855-2_15"},{"key":"9195_CR51","unstructured":"Strehl A, Ghosh J (2002) Cluster ensembles\u2014a knowledge reuse framework for combining partitionings. In: Proceeding of 11th national conference on artificial intelligence, pp 93\u201398"},{"key":"9195_CR52","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1162\/153244303321897735","volume":"3","author":"A Strehl","year":"2003","unstructured":"Strehl A, Ghosh J (2003) Cluster ensembles\u2014a knowledge reuse framework for combining multiple partitions. Mach Learn Res J 3: 583\u2013617","journal-title":"Mach Learn Res J"},{"key":"9195_CR53","doi-asserted-by":"crossref","unstructured":"Topchy A, Jain AK, Punch WF (2003) Combining multiple weak clusterings. In: Proceeding of the third IEEE international conference on data mining (ICDM), pp 331\u2013338","DOI":"10.1109\/ICDM.2003.1250937"},{"key":"9195_CR54","doi-asserted-by":"crossref","unstructured":"Topchy A, Jain AK, Punch WF (2004a) A mixture model for clustering ensembles. In: Proceedings of the SIAM international conference on data mining, Michigan State University","DOI":"10.1137\/1.9781611972740.35"},{"key":"9195_CR55","first-page":"272","volume":"1","author":"A Topchy","year":"2004","unstructured":"Topchy A, Minaei-Bidgoli B, Jain AK, Punch WF (2004b) Adaptive clustering ensembles. Pattern Recogn J 1: 272\u2013275","journal-title":"Pattern Recogn J"},{"issue":"12","key":"9195_CR56","doi-asserted-by":"crossref","first-page":"1866","DOI":"10.1109\/TPAMI.2005.237","volume":"27","author":"A Topchy","year":"2005","unstructured":"Topchy A, Jain AK, Punch WF (2005) Clustering ensembles: models of consensus and weak partitions. IEEE Trans Pattern Anal Mach Intell 27(12): 1866\u20131881","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9195_CR57","doi-asserted-by":"crossref","unstructured":"Vavak F, Fogarty TC (1996) Comparison of steady-state and generational genetic algorithms for use in nonstationary environments. Lecture Notes in Computer Science, Springer","DOI":"10.1007\/BFb0032791"},{"key":"9195_CR58","doi-asserted-by":"crossref","unstructured":"Xu R, Wunsch D (2005) Survey of clustering algorithms. IEEE Trans Neural Netw 16(3)","DOI":"10.1109\/TNN.2005.845141"},{"key":"9195_CR59","doi-asserted-by":"crossref","unstructured":"Yoon HS, Ahn SY, Lee SH, Cho SB, Kim JH (2006a) Heterogeneous clustering ensemble method for combining different cluster results. Data Min Biomed Appl J, Springer, pp 82\u201392","DOI":"10.1007\/11691730_9"},{"key":"9195_CR60","doi-asserted-by":"crossref","unstructured":"Yoon HS, Lee SH, Cho SB, Kim JH (2006b) A novel framework for discovering robust cluster results. Discov Sci, Springer, pp 373\u2013377","DOI":"10.1007\/11893318_45"},{"key":"9195_CR61","doi-asserted-by":"crossref","unstructured":"Yoon HS, Lee SH, Cho SB, Kim JH (2006c) Integration analysis of diverse genomic data using multi-clustering results. Biomed Med Data Anal J, Springer, pp 37\u201348","DOI":"10.1007\/11946465_4"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-010-9195-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10462-010-9195-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-010-9195-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,7]],"date-time":"2019-06-07T15:36:46Z","timestamp":1559921806000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10462-010-9195-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,1,13]]},"references-count":61,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2011,4]]}},"alternative-id":["9195"],"URL":"https:\/\/doi.org\/10.1007\/s10462-010-9195-5","relation":{},"ISSN":["0269-2821","1573-7462"],"issn-type":[{"value":"0269-2821","type":"print"},{"value":"1573-7462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,1,13]]}}}