{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:41:43Z","timestamp":1760708503498},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2013,2,16]],"date-time":"2013-02-16T00:00:00Z","timestamp":1360972800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Memetic Comp."],"published-print":{"date-parts":[[2013,6]]},"DOI":"10.1007\/s12293-013-0110-x","type":"journal-article","created":{"date-parts":[[2013,2,14]],"date-time":"2013-02-14T23:22:58Z","timestamp":1360884178000},"page":"155-161","source":"Crossref","is-referenced-by-count":18,"title":["PSOHS: an efficient two-stage approach for data clustering"],"prefix":"10.1007","volume":"5","author":[{"given":"Abdolreza","family":"Hatamlou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masoumeh","family":"Hatamlou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,2,16]]},"reference":[{"key":"110_CR1","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1007\/s10462-011-9210-5","volume":"36","author":"MJ Abul Hasan","year":"2011","unstructured":"Abul Hasan MJ, Ramakrishnan S (2011) A survey: hybrid evolutionary algorithms for cluster analysis. Artif Intell Rev 36:179\u2013204","journal-title":"Artif Intell Rev"},{"key":"110_CR2","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1109\/MCI.2010.936306","volume":"5","author":"G Acampora","year":"2010","unstructured":"Acampora G, Gaeta M, Loia V (2010) Exploring e-learning knowledge through ontological memetic agents. Comput Intell 5:66\u201377","journal-title":"Comput Intell"},{"key":"110_CR3","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1111\/j.1467-8640.2010.00367.x","volume":"27","author":"G Acampora","year":"2011","unstructured":"Acampora G, Gaeta M, Loia V (2011) Combining multi-agent paradigm and memetic computing for personalized and adaptive learning experiences. Comput Intell 27:141\u2013165","journal-title":"Comput Intell"},{"key":"110_CR4","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1016\/j.patrec.2009.11.013","volume":"31","author":"H Anaya-S\u00e1nchez","year":"2010","unstructured":"Anaya-S\u00e1nchez H, Pons-Porrata A, Berlanga-Llavori R (2010) A document clustering algorithm for discovering and describing topics. Pattern Recognit Lett 31:502\u2013510","journal-title":"Pattern Recognit Lett"},{"key":"110_CR5","unstructured":"Blake CL, Merz CJ UCI repository of machine learning databases. http:\/\/www.ics.uci.edu\/-mlearn\/MLRepository.html"},{"key":"110_CR6","doi-asserted-by":"crossref","unstructured":"Ching-Yi C, Fun Y (2004) Particle swarm optimization algorithm and its application to clustering analysis. In: 2004 IEEE International Conference on Networking, Sensing and Control, vol 782, pp 789\u2013794","DOI":"10.1109\/ICNSC.2004.1297047"},{"key":"110_CR7","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, Garcia S, Molina D, Herrera F (2011) A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evolut Comput 1:3\u201318","journal-title":"Swarm Evolut Comput"},{"key":"110_CR8","doi-asserted-by":"crossref","first-page":"2527","DOI":"10.1016\/j.patcog.2009.04.013","volume":"42","author":"J Fan","year":"2009","unstructured":"Fan J, Han M, Wang J (2009) Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation. Pattern Recognit 42:2527\u20132540","journal-title":"Pattern Recognit"},{"key":"110_CR9","doi-asserted-by":"crossref","first-page":"1502","DOI":"10.1016\/j.amc.2007.02.029","volume":"190","author":"M Fathian","year":"2007","unstructured":"Fathian M, Amiri B, Maroosi A (2007) Application of honey-bee mating optimization algorithm on clustering. Appl Math Comput 190:1502\u20131513","journal-title":"Appl Math Comput"},{"key":"110_CR10","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1016\/j.patrec.2004.11.002","volume":"26","author":"D Feng","year":"2005","unstructured":"Feng D, Wenkang S, Liangzhou C, Yong D, Zhenfu Z (2005) Infrared image segmentation with 2-D maximum entropy method based on particle swarm optimization (PSO). Pattern Recognit Lett 26:597\u2013603","journal-title":"Pattern Recognit Lett"},{"key":"110_CR11","first-page":"2","volume":"21","author":"EW Forgy","year":"1965","unstructured":"Forgy EW (1965) Cluster analysis of multivariate data: efficiency versus interpretability of classifications. Biometrics 21:2","journal-title":"Biometrics"},{"key":"110_CR12","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.ins.2006.03.006","volume":"177","author":"M Friedman","year":"2007","unstructured":"Friedman M, Last M, Makover Y, Kandel A (2007) Anomaly detection in web documents using crisp and fuzzy-based cosine clustering methodology. Inf Sci 177:467\u2013475","journal-title":"Inf Sci"},{"key":"110_CR13","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1016\/j.patrec.2009.11.011","volume":"31","author":"R Gil-Garc\u00eda","year":"2010","unstructured":"Gil-Garc\u00eda R, Pons-Porrata A (2010) Dynamic hierarchical algorithms for document clustering. Pattern Recognit Lett 31:469\u2013477","journal-title":"Pattern Recognit Lett"},{"key":"110_CR14","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.amc.2006.05.166","volume":"184","author":"Z G\u00fcngr","year":"2007","unstructured":"G\u00fcngr Z, \u00dcnler A (2007) K-harmonic means data clustering with simulated annealing heuristic. Appl Math Comput 184:199\u2013209","journal-title":"Appl Math Comput"},{"key":"110_CR15","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.rcim.2007.12.002","volume":"25","author":"YW Guo","year":"2009","unstructured":"Guo YW, Li WD, Mileham AR, Owen GW (2009) Applications of particle swarm optimisation in integrated process planning and scheduling. Robot Comput-Integr Manuf 25:280\u2013288","journal-title":"Robot Comput-Integr Manuf"},{"key":"110_CR16","doi-asserted-by":"crossref","first-page":"1756","DOI":"10.1016\/j.patrec.2012.06.008","volume":"33","author":"A Hatamlou","year":"2012","unstructured":"Hatamlou A (2012) In search of optimal centroids on data clustering using a binary search algorithm. Pattern Recognit Lett 33:1756\u20131760","journal-title":"Pattern Recognit Lett"},{"key":"110_CR17","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.ins.2012.08.023","volume":"222","author":"A Hatamlou","year":"2013","unstructured":"Hatamlou A (2013) Black hole: a new heuristic optimization approach for data clustering. Inf Sci 222:175\u2013184","journal-title":"Inf Sci"},{"key":"110_CR18","doi-asserted-by":"crossref","unstructured":"Hatamlou A, Abdullah S, Hatamlou M (2011a) Data clustering using big bang-big crunch algorithm. CCIS 241:383\u2013388","DOI":"10.1007\/978-3-642-27337-7_36"},{"key":"110_CR19","volume-title":"Application of Gravitational Search Algorithm on Data Clustering, Rough Sets and Knowledge Technology","author":"A Hatamlou","year":"2011","unstructured":"Hatamlou A, Abdullah S, Nezamabadi-pour H (2011b) Application of Gravitational Search Algorithm on Data Clustering, Rough Sets and Knowledge Technology. Springer, Berlin\/Heidelberg"},{"key":"110_CR20","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.swevo.2012.02.003","volume":"6","author":"A Hatamlou","year":"2012","unstructured":"Hatamlou A, Abdullah S, Nezamabadi-pour H (2012) A combined approach for clustering based on K-means and gravitational search algorithms. Swarm Evolut Comput 6:47\u201352","journal-title":"Swarm Evolut Comput"},{"key":"110_CR21","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 Part C: Appl Rev 39:133\u2013155","journal-title":"IEEE Trans Syst Man Cybern Part C: Appl Rev"},{"key":"110_CR22","volume-title":"Data mining: concepts and techniques","author":"J Han","year":"2001","unstructured":"Han J, Kamber M (2001) Data mining: concepts and techniques. Academic Press, New York"},{"key":"110_CR23","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 Recognit Lett 31:651\u2013666","journal-title":"Pattern Recognit Lett"},{"key":"110_CR24","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.epsr.2006.02.016","volume":"77","author":"Y-X Jin","year":"2007","unstructured":"Jin Y-X, Cheng H-Z, Zhang L (2007) New discrete method for particle swarm optimization and its application in transmission network expansion planning. Electr Power Syst Res 77:227\u2013233","journal-title":"Electr Power Syst Res"},{"key":"110_CR25","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1016\/j.asoc.2009.12.025","volume":"11","author":"D Karaboga","year":"2011","unstructured":"Karaboga D, Ozturk C (2011) A novel clustering approach: artificial bee colony (ABC) algorithm. Appl Soft Comput 11:652\u2013657","journal-title":"Appl Soft Comput"},{"key":"110_CR26","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of the IEEE international conference on neural networks, 1995, vol 1944, pp 1942\u20131948","DOI":"10.1109\/ICNN.1995.488968"},{"key":"110_CR27","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.compbiomed.2007.11.001","volume":"38","author":"G Kerr","year":"2008","unstructured":"Kerr G, Ruskin HJ, Crane M, Doolan P (2008) Techniques for clustering gene expression data. Comput Biol Med 38:283\u2013293","journal-title":"Comput Biol Med"},{"key":"110_CR28","doi-asserted-by":"crossref","first-page":"1200","DOI":"10.1016\/j.eswa.2006.12.025","volume":"34","author":"K-j Kim","year":"2008","unstructured":"Kim K-j, Ahn H (2008) A recommender system using GA K-means clustering in an online shopping market. Expert Syst Appl 34:1200\u20131209","journal-title":"Expert Syst Appl"},{"key":"110_CR29","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1109\/3477.764879","volume":"29","author":"K Krishna","year":"1999","unstructured":"Krishna K, Murty MN (1999) Genetic K-means algorithm. IEEE Trans Syst Man Cybern Part B: Cybern 29:433\u2013439","journal-title":"IEEE Trans Syst Man Cybern Part B: Cybern"},{"key":"110_CR30","first-page":"326","volume":"11","author":"RJ Kuo","year":"2009","unstructured":"Kuo RJ, Chao CM, Chiu YT (2009) Application of particle swarm optimization to association rule mining. Appl Soft Comput 11:326\u2013336","journal-title":"Appl Soft Comput"},{"key":"110_CR31","doi-asserted-by":"crossref","first-page":"1062","DOI":"10.1016\/j.patrec.2007.01.009","volume":"28","author":"F Liang","year":"2007","unstructured":"Liang F, Wang N (2007) Dynamic agglomerative clustering of gene expression profiles. Pattern Recognit Lett 28:1062\u20131076","journal-title":"Pattern Recognit Lett"},{"key":"110_CR32","doi-asserted-by":"crossref","first-page":"1580","DOI":"10.1016\/j.patrec.2008.03.012","volume":"29","author":"L Liao","year":"2008","unstructured":"Liao L, Lin T, Li B (2008) MRI brain image segmentation and bias field correction based on fast spatially constrained kernel clustering approach. Pattern Recognit Lett 29:1580\u20131588","journal-title":"Pattern Recognit Lett"},{"key":"110_CR33","doi-asserted-by":"crossref","first-page":"2680","DOI":"10.1016\/j.ins.2008.01.022","volume":"178","author":"Y Liu","year":"2008","unstructured":"Liu Y, Yi Z, Wu H, Ye M, Chen K (2008) A tabu search approach for the minimum sum-of-squares clustering problem. Inf Sci 178:2680\u20132704","journal-title":"Inf Sci"},{"key":"110_CR34","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.amc.2007.12.058","volume":"201","author":"M Mahdavi","year":"2008","unstructured":"Mahdavi M, Chehreghani MH, Abolhassani H, Forsati R (2008) Novel meta-heuristic algorithms for clustering web documents. Appl Math Comput 201:441\u2013451","journal-title":"Appl Math Comput"},{"key":"110_CR35","doi-asserted-by":"crossref","unstructured":"Maitra M, Chatterjee A (2008) A hybrid cooperative-comprehensive learning based PSO algorithm for image segmentation using multilevel thresholding. Expert Syst Appl 34:1341\u20131350","DOI":"10.1016\/j.eswa.2007.01.002"},{"key":"110_CR36","doi-asserted-by":"crossref","first-page":"10604","DOI":"10.1016\/j.eswa.2009.02.055","volume":"36","author":"Y Marinakis","year":"2009","unstructured":"Marinakis Y, Marinaki M, Doumpos M, Zopounidis C (2009) Ant colony and particle swarm optimization for financial classification problems. Expert Syst Appl 36:10604\u201310611","journal-title":"Expert Syst Appl"},{"key":"110_CR37","doi-asserted-by":"crossref","first-page":"1455","DOI":"10.1016\/S0031-3203(99)00137-5","volume":"33","author":"U Maulik","year":"2000","unstructured":"Maulik U, Bandyopadhyay S (2000) Genetic algorithm-based clustering technique. Pattern Recognit 33:1455\u20131465","journal-title":"Pattern Recognit"},{"key":"110_CR38","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1016\/j.camwa.2008.02.006","volume":"56","author":"I Montalvo","year":"2008","unstructured":"Montalvo I, Izquierdo J, P\u00e9rez R, Tung MM (2008) Particle swarm optimization applied to the design of water supply systems. Comput Math Appl 56:769\u2013776","journal-title":"Comput Math Appl"},{"key":"110_CR39","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.patcog.2010.07.024","volume":"44","author":"M Moshtaghi","year":"2011","unstructured":"Moshtaghi M, Havens TC, Bezdek JC, Park L, Leckie C, Rajasegarar S, Keller JM, Palaniswami M (2011) Clustering ellipses for anomaly detection. Pattern Recognit 44:55\u201369","journal-title":"Pattern Recognit"},{"key":"110_CR40","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1007\/s12046-011-0026-4","volume":"36","author":"T Niknam","year":"2011","unstructured":"Niknam T, Fard ET, Ehrampoosh S, Rousta A (2011) A new hybrid imperialist competitive algorithm on data clustering. Sadhana\u2014Acad Proc Eng Sci 36:293\u2013315","journal-title":"Sadhana\u2014Acad Proc Eng Sci"},{"key":"110_CR41","doi-asserted-by":"crossref","first-page":"1876","DOI":"10.1016\/j.patrec.2010.02.012","volume":"31","author":"JP Papa","year":"2010","unstructured":"Papa JP, Fonseca LMG, de Carvalho LAS (2010) Projections onto convex sets through particle swarm optimization and its application for remote sensing image restoration. Pattern Recognit Lett 31:1876\u20131886","journal-title":"Pattern Recognit Lett"},{"key":"110_CR42","doi-asserted-by":"crossref","first-page":"857","DOI":"10.1016\/j.patrec.2009.12.029","volume":"31","author":"CA Perez","year":"2010","unstructured":"Perez CA, Aravena CM, Vallejos JI, Estevez PA, Held CM (2010) Face and iris localization using templates designed by particle swarm optimization. Pattern Recognit Lett 31:857\u2013868","journal-title":"Pattern Recognit Lett"},{"key":"110_CR43","doi-asserted-by":"crossref","first-page":"866","DOI":"10.1016\/j.ejor.2005.04.048","volume":"173","author":"B Saglam","year":"2006","unstructured":"Saglam B, Salman FS, SayIn S, T\u00fcrkay M (2006) A mixed-integer programming approach to the clustering problem with an application in customer segmentation. Eur J Oper Res 173:866\u2013879","journal-title":"Eur J Oper Res"},{"key":"110_CR44","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1016\/S0031-3203(96)00131-8","volume":"30","author":"P Scheunders","year":"1997","unstructured":"Scheunders P (1997) A genetic c-means clustering algorithm applied to color image quantization. Pattern Recognit 30:859\u2013866","journal-title":"Pattern Recognit"},{"key":"110_CR45","unstructured":"Selim SZ, Ismail MA (1984) K-means-type algorithms: a generalized convergence theorem and characterization of local optimality. In: Pattern analysis and machine intelligence, IEEE Transactions on PAMI-6, pp 81\u201387"},{"key":"110_CR46","doi-asserted-by":"crossref","first-page":"3243","DOI":"10.1016\/j.cor.2007.02.019","volume":"35","author":"DY Sha","year":"2008","unstructured":"Sha DY, Hsu C-Y (2008) A new particle swarm optimization for the open shop scheduling problem. Comput Oper Res 35:3243\u20133261","journal-title":"Comput Oper Res"},{"key":"110_CR47","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.aca.2003.12.032","volume":"509","author":"PS Shelokar","year":"2004","unstructured":"Shelokar PS, Jayaraman VK, Kulkarni BD (2004) An ant colony approach for clustering. Analyt Chim Acta 509:187\u2013195","journal-title":"Analyt Chim Acta"},{"key":"110_CR48","doi-asserted-by":"crossref","first-page":"3744","DOI":"10.1016\/j.eswa.2008.02.037","volume":"36","author":"C-H Wang","year":"2009","unstructured":"Wang C-H (2009) Outlier identification and market segmentation using kernel-based clustering techniques. Expert Syst Appl 36:3744\u20133750","journal-title":"Expert Syst Appl"},{"key":"110_CR49","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/j.patrec.2006.09.003","volume":"28","author":"X Wang","year":"2007","unstructured":"Wang X, Yang J, Teng X, Xia W, Jensen R (2007) Feature selection based on rough sets and particle swarm optimization. Pattern Recognit Lett 28:459\u2013471","journal-title":"Pattern Recognit Lett"},{"key":"110_CR50","doi-asserted-by":"crossref","first-page":"1548","DOI":"10.1016\/j.patrec.2007.03.012","volume":"28","author":"Y Xia","year":"2007","unstructured":"Xia Y, Feng D, Wang T, Zhao R, Zhang Y (2007) Image segmentation by clustering of spatial patterns. Pattern Recognit Lett 28:1548\u20131555","journal-title":"Pattern Recognit Lett"},{"key":"110_CR51","doi-asserted-by":"crossref","first-page":"1773","DOI":"10.1016\/j.patrec.2010.04.006","volume":"31","author":"S Yang","year":"2010","unstructured":"Yang S, Wu R, Wang M, Jiao L (2010) Evolutionary clustering based vector quantization and SPIHT coding for image compression. Pattern Recognit Lett 31:1773\u20131780","journal-title":"Pattern Recognit Lett"},{"key":"110_CR52","doi-asserted-by":"crossref","unstructured":"Yazdani D, Golyari S, Meybodi MR (2010) A new hybrid approach for data clustering. In: 5th International Symposium on Telecommunications, IST 2010, pp 914\u2013919","DOI":"10.1109\/ISTEL.2010.5734153"},{"key":"110_CR53","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1016\/j.eswa.2005.12.011","volume":"32","author":"W Zhong","year":"2007","unstructured":"Zhong W, He J, Harrison R, Tai PC, Pan Y (2007) Clustering support vector machines for protein local structure prediction. Expert Syst Appl 32:518\u2013526","journal-title":"Expert Syst Appl"}],"container-title":["Memetic Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12293-013-0110-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12293-013-0110-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12293-013-0110-x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,9]],"date-time":"2019-07-09T15:39:51Z","timestamp":1562686791000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12293-013-0110-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,2,16]]},"references-count":53,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2013,6]]}},"alternative-id":["110"],"URL":"https:\/\/doi.org\/10.1007\/s12293-013-0110-x","relation":{},"ISSN":["1865-9284","1865-9292"],"issn-type":[{"value":"1865-9284","type":"print"},{"value":"1865-9292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,2,16]]}}}