{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:41:49Z","timestamp":1775839309830,"version":"3.50.1"},"reference-count":67,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2005,11,24]],"date-time":"2005-11-24T00:00:00Z","timestamp":1132790400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2006,2]]},"DOI":"10.1007\/s10044-005-0015-5","type":"journal-article","created":{"date-parts":[[2005,11,23]],"date-time":"2005-11-23T15:13:54Z","timestamp":1132758834000},"page":"332-344","source":"Crossref","is-referenced-by-count":230,"title":["Dynamic clustering using particle swarm optimization with application in image segmentation"],"prefix":"10.1007","volume":"8","author":[{"given":"Mahamed G. H.","family":"Omran","sequence":"first","affiliation":[]},{"given":"Ayed","family":"Salman","sequence":"additional","affiliation":[]},{"given":"Andries P.","family":"Engelbrecht","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2005,11,24]]},"reference":[{"issue":"3","key":"15_CR1","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 PJ (1999) Data clustering: a review. ACM Comput Surv 31(3):264\u2013323","journal-title":"ACM Comput Surv"},{"issue":"1","key":"15_CR2","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/34.824819","volume":"22","author":"AK Jain","year":"2000","unstructured":"Jain AK, Duin R, Mao J (2000) Statistical pattern recognition: a review. IEEE Trans Pattern Anal Mach Intell 22(1):4\u201337","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"8","key":"15_CR3","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1109\/34.709614","volume":"20","author":"D Judd","year":"1998","unstructured":"Judd D, Mckinley P, Jain AK (1998) Large-scale parallel data clustering. IEEE Trans Pattern Anal Mach Intell 20(8):871\u2013876","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"15_CR4","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/0165-1684(94)90182-1","volume":"36","author":"HM Abbas","year":"1994","unstructured":"Abbas HM, Fahmy MM (1994) Neural networks for maximum likelihood clustering. Signal Process 36(1):111\u2013126","journal-title":"Signal Process"},{"key":"15_CR5","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1109\/PROC.1979.11327","volume":"67","author":"GB Coleman","year":"1979","unstructured":"Coleman GB, Andrews HC (1979) Image segmentation by clustering. Proc IEEE 67:773\u2013785","journal-title":"Proc IEEE"},{"key":"15_CR6","volume-title":"Algorithms for clustering data","author":"AK Jain","year":"1988","unstructured":"Jain AK, Dubes RC (1988) Algorithms for clustering data. Prentice Hall, New Jersey"},{"key":"15_CR7","unstructured":"Ray S, Turi RH (1999) Determination of number of clusters in K-means clustering and application in colour image segmentation. In: Proceedings of the 4th international conference on advances in pattern recognition and digital techniques (ICAPRDT\u201899), Calcutta, India, pp 137\u2013143"},{"issue":"2","key":"15_CR8","first-page":"95","volume":"24","author":"C Carpineto","year":"1996","unstructured":"Carpineto C, Romano G (1996) A lattice conceptual clustering system and its application to browsing retrieval. Mach Learn 24(2):95\u2013122","journal-title":"Mach Learn"},{"key":"15_CR9","doi-asserted-by":"crossref","unstructured":"Lee CY, Antonsson EK (2000) Dynamic partitional clustering using evolution strategies. In: The third Asia-Pacific conference on simulated evolution and learning","DOI":"10.1109\/IECON.2000.972427"},{"key":"15_CR10","unstructured":"Hamerly G, Elkan C (2003) Learning the K in K-means. In: 7th annual conference on neural information processing systems"},{"issue":"5","key":"15_CR11","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1109\/34.765656","volume":"21","author":"H Frigui","year":"1999","unstructured":"Frigui H, Krishnapuram R (1999) A robust competitive clustering algorithm with applications in computer vision. IEEE Trans Pattern Anal Mach Intell 21(5):450\u2013465","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"12","key":"15_CR12","doi-asserted-by":"crossref","first-page":"1396","DOI":"10.1109\/34.895974","volume":"22","author":"Y Leung","year":"2000","unstructured":"Leung Y, Zhang J, Xu Z (2000) Clustering by space-space filtering. IEEE Trans Pattern Anal Mach Intell 22(12):1396\u20131410","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2\u20133","key":"15_CR13","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1023\/A:1012801612483","volume":"17","author":"M Halkidi","year":"2001","unstructured":"Halkidi M, Batistakis Y, Vazirgiannis M (2001) On clustering validation techniques. Intell Inform Syst J 17(2\u20133):107\u2013145","journal-title":"Intell Inform Syst J"},{"key":"15_CR14","volume-title":"Pattern recognition","author":"S Theodoridis","year":"1999","unstructured":"Theodoridis S, Koutroubas K (1999) Pattern recognition. Academic, New York"},{"key":"15_CR15","doi-asserted-by":"crossref","unstructured":"Rosenberger C, Chehdi K (2000) Unsupervised clustering method with optimal estimation of the number of clusters: application to image segmentation. In: International conference on pattern recognition (ICPR\u201900) 1:1656\u20131659","DOI":"10.1109\/ICPR.2000.905473"},{"issue":"1","key":"15_CR16","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1109\/5326.661099","volume":"28","author":"L Kuncheva","year":"1998","unstructured":"Kuncheva L, Bezdek J (1998) Nearest prototype classification: clustering, genetic algorithms, or random search? IEEE Trans Syst Man Cybernet C: Appl Rev 28(1):160\u2013164","journal-title":"IEEE Trans Syst Man Cybernet C: Appl Rev"},{"key":"15_CR17","first-page":"768","volume":"21","author":"E Forgy","year":"1965","unstructured":"Forgy E (1965) Cluster analysis of multivariate data: efficiency versus interpretability of classification. Biometrics 21:768\u2013769","journal-title":"Biometrics"},{"key":"15_CR18","volume-title":"Machine vision: theory, algorithms, practicalities","author":"E Davies","year":"1997","unstructured":"Davies E (1997) Machine vision: theory, algorithms, practicalities, 2nd edn. Academic, New York","edition":"2"},{"key":"15_CR19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TPAMI.1980.4766964","volume":"2","author":"J Bezdek","year":"1980","unstructured":"Bezdek J (1980) A convergence theorem for the fuzzy ISODATA clustering algorithms. IEEE Trans Pattern Anal Mach Intell 2:1\u20138","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"15_CR20","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-0450-1","volume-title":"Pattern recognition with fuzzy objective function algorithms","author":"JC Bezdek","year":"1981","unstructured":"Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Plenum, New York"},{"key":"15_CR21","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural networks for pattern recognition","author":"C Bishop","year":"1995","unstructured":"Bishop C (1995) Neural networks for pattern recognition. Clarendon, Oxford"},{"key":"15_CR22","volume-title":"The EM algorithm and extensions","author":"G McLachlan","year":"1997","unstructured":"McLachlan G, Krishnan T (1997) The EM algorithm and extensions. Wiley, New York"},{"key":"15_CR23","doi-asserted-by":"crossref","unstructured":"Rendner R, Walker H (1984) Mixture densities, maximum likelihood and the EM algorithm. SIAM Rev 26(2)","DOI":"10.1137\/1026034"},{"key":"15_CR24","unstructured":"Hamerly G (2003) Learning structure and concepts in data using data clustering, PhD thesis, University of California, San Diego"},{"key":"15_CR25","unstructured":"Alldrin N, Smith A, Turnbull D (2003) Clustering with EM and K-means (November 15 2003), Unpublished Manuscript; http:\/\/louis.ucsd.edu\/\u223cnalldrin\/research\/cse253_wi03.pdf ."},{"issue":"1","key":"15_CR26","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1109\/42.906424","volume":"20","author":"Y Zhang","year":"2001","unstructured":"Zhang Y, Brady M, Smith S (2001) Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imag 20(1):45\u201357","journal-title":"IEEE Trans Med Imag"},{"key":"15_CR27","unstructured":"Zhang B, Hsu M, Dayal U (1999) K-harmonic means\u2013a data clustering algorithm. Technical report HPL-1999\u2013124), Hewlett-Packard Labs"},{"key":"15_CR28","unstructured":"Zhang B (2000) Generalized K-harmonic means\u2013boosting in unsupervised learning. Technical report HPL-2000\u2013137), Hewlett-Packard Labs"},{"issue":"3","key":"15_CR29","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1142\/S0218001405004083","volume":"19","author":"M Omran","year":"2005","unstructured":"Omran M, Engelbrecht A, Salman A (2005) Particle swarm optimization method for image clustering. Int J Pattern Recogn Artif Intell 19(3):297\u2013322","journal-title":"Int J Pattern Recogn Artif Intell"},{"issue":"5","key":"15_CR30","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1109\/34.765656","volume":"21","author":"H Frigui","year":"1999","unstructured":"Frigui H, Krishnapuram R (1999) A robust competitive clustering algorithm with applications in computer vision. IEEE Trans Pattern Anal Mach Intell 21(5):450\u2013465","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"15_CR31","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1002\/bs.3830120210","volume":"12","author":"G Ball","year":"1967","unstructured":"Ball G, Hall D (1967) A clustering technique for summarizing multivariate data. Behav Sci 12:153\u2013155","journal-title":"Behav Sci"},{"issue":"1","key":"15_CR32","first-page":"33","volume":"1","author":"K Huang","year":"2002","unstructured":"Huang K (2002) A synergistic automatic clustering technique (Syneract) for multispectral image analysis. Photogrammetric Eng Remote Sens 1(1):33\u201340","journal-title":"Photogrammetric Eng Remote Sens"},{"key":"15_CR33","unstructured":"Pelleg D, Moore A (2000) X-means: extending K-means with efficient estimation of the number of clusters. In: Proceedings of the 17th international conference on machine learning, Morgan Kaufmann, San Francisco, CA, pp 727\u2013734"},{"issue":"431","key":"15_CR34","doi-asserted-by":"crossref","first-page":"928","DOI":"10.1080\/01621459.1995.10476592","volume":"90","author":"R Kass","year":"1995","unstructured":"Kass R, Wasserman L (1995) A reference Bayesian test for nested hypotheses and its relationship to the Schwarz criterion. J Am Stat Assoc 90(431):928\u2013934","journal-title":"J Am Stat Assoc"},{"key":"15_CR35","unstructured":"Hamerly G (2003) Learning structure and concepts in data using data clustering. PhD thesis, University of California, San Diego"},{"key":"15_CR36","unstructured":"Wallace CS, Dowe DL (1994) Intrinsic classification by MML\u2014the snob program. In: Proceedings 7th Australian joint conference on artificial intelligence, UNE, Armidale, NSW, Australia, pp 37\u201344"},{"key":"15_CR37","unstructured":"Wallace CS (1984) An improved program for classification. Technical report No. 47, Department of Computer Science, Monash University, Australia"},{"key":"15_CR38","unstructured":"Turi RH (2001) Clustering-based colour image segmentation. PhD Thesis, Monash University, Australia"},{"key":"15_CR39","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1093\/comjnl\/11.2.185","volume":"11","author":"CS Wallace","year":"1968","unstructured":"Wallace CS, Boulton DM (1968) An information measure for classification. Comput J 11:185\u2013194","journal-title":"Comput J"},{"key":"15_CR40","unstructured":"Oliver JJ, Hand D (1994) Introduction to minimum encoding inference. Technical report No. 94\/205, Department of Computer Science, Monash University, Australia"},{"key":"15_CR41","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/s100440050015","volume":"2","author":"H Bischof","year":"1999","unstructured":"Bischof H, Leonardis A, Selb A (1999) MDL principle for robust vector quantization. Pattern Anal Appl 2:59\u201372","journal-title":"Pattern Anal Appl"},{"issue":"7","key":"15_CR42","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1109\/34.192473","volume":"11","author":"I Gath","year":"1989","unstructured":"Gath I, Geva A (1989) Unsupervised optimal fuzzy clustering. IEEE Trans Pattern Anal Mach Intell 11(7):773\u2013781","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"15_CR43","doi-asserted-by":"crossref","unstructured":"Lorette A, Descombes X, Zerubia J (2000) Fully unsupervised fuzzy clustering with entropy criterion. In: International conference on pattern recognition (ICPR\u201900) 3:3998-4001","DOI":"10.1109\/ICPR.2000.903710"},{"key":"15_CR44","doi-asserted-by":"crossref","unstructured":"Boujemaa N (2000) On competitive unsupervised clustering. In: International conference on pattern recognition (ICPR\u201900) 1:1631\u20131634","DOI":"10.1109\/ICPR.2000.905417"},{"issue":"7","key":"15_CR45","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1016\/S0031-3203(96)00140-9","volume":"30","author":"H Frigui","year":"1997","unstructured":"Frigui H, Krishnapuram R (1997) Clustering by competitive agglomeration. Pattern Recogn Lett 30(7):1109\u20131119","journal-title":"Pattern Recogn Lett"},{"key":"15_CR46","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-97610-0","volume-title":"Self-organizing maps","author":"T Kohonen","year":"1995","unstructured":"Kohonen T (1995) Self-organizing maps. Springer, Berlin Heidelberg New York"},{"key":"15_CR47","volume-title":"Elements of artificial neural networks","author":"K Mehrotra","year":"1997","unstructured":"Mehrotra K, Mohan C, Rakka (1997) Elements of artificial neural networks. MIT, Cambridge"},{"key":"15_CR48","volume-title":"Pattern recognition with neural networks in C++","author":"A Pandya","year":"1996","unstructured":"Pandya A, Macy R (1996) Pattern recognition with neural networks in C++. CRC, Boca Raton"},{"key":"15_CR49","doi-asserted-by":"crossref","unstructured":"Halkidi M, Vazirgiannis M (2001) Clustering validity assessment: finding the optimal partitioning of a data set. In: Proceedings of ICDM conference, CA, USA","DOI":"10.1109\/ICDM.2001.989517"},{"key":"15_CR50","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1080\/01969727408546059","volume":"4","author":"JC Dunn","year":"1974","unstructured":"Dunn JC (1974) Well separated clusters and optimal fuzzy partitions. J Cybern 4:95\u2013104","journal-title":"J Cybern"},{"key":"15_CR51","doi-asserted-by":"crossref","unstructured":"Davies, Bouldin (1979) A cluster separation measure. IEEE Trans Pattern Anal Mach Intell 1(2)","DOI":"10.1109\/TPAMI.1979.4766909"},{"key":"15_CR52","unstructured":"Halkidi M, Vazirgiannis M (2002) Clustering validity assessment using multi representative. In: Proceedings of SETN conference, Thessaloniki, Greece"},{"key":"15_CR53","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neural networks, Perth, Australia 4:1942\u20131948","DOI":"10.1109\/ICNN.1995.488968"},{"key":"15_CR54","volume-title":"Swarm intelligence","author":"J Kennedy","year":"2001","unstructured":"Kennedy J, Eberhart R (2001) Swarm intelligence. Morgan Kaufmann, San Francisco"},{"key":"15_CR55","volume-title":"Computational intelligence: an introduction","author":"A Engelbrecht","year":"2002","unstructured":"Engelbrecht A (2002) Computational intelligence: an introduction. Wiley, New York"},{"key":"15_CR56","doi-asserted-by":"crossref","unstructured":"Shi Y, Eberhart R (1998) Parameter selection in particle swarm optimization. Evolutionary Programming VII: Proceedings of EP 98:591\u2013600","DOI":"10.1007\/BFb0040810"},{"key":"15_CR57","unstructured":"Suganthan P (1999) Particle Swarm Optimizer with Neighborhood Optimizer. In: Proceedings of the congress on evolutionary computation, pp 1958\u20131962"},{"key":"15_CR58","doi-asserted-by":"crossref","unstructured":"Shi Y, Eberhart R (1998) A modified particle swarm optimizer. In: Proceedings of the IEEE international conference on evolutionary computation, Piscataway, NJ, pp 69\u201373","DOI":"10.1109\/ICEC.1998.699146"},{"key":"15_CR59","doi-asserted-by":"crossref","unstructured":"Kennedy J, Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance. In: Proceedings of the congress on evolutionary computation, pp 1931\u20131938","DOI":"10.1109\/CEC.1999.785509"},{"key":"15_CR60","doi-asserted-by":"crossref","unstructured":"Kennedy J, Mendes R (2002) Population structure and particle performance. In: Proceedings of the IEEE congress on evolutionary computation, Honolulu, Hawaii","DOI":"10.1109\/CEC.2002.1004493"},{"key":"15_CR61","unstructured":"Van den Bergh F (2002) An analysis of particle swarm optimizers. PhD thesis, Department of Computer Science, University of Pretoria"},{"key":"15_CR62","doi-asserted-by":"crossref","unstructured":"van den Bergh F, Engelbrecht AP (2002) A new locally convergent particle swarm optimizer. In: Proceedings of the IEEE conference on systems, man, and cybernetics, Hammamet, Tunisia","DOI":"10.1109\/ICSMC.2002.1176018"},{"key":"15_CR63","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart R (1997) A discrete binary version of the particle swarm algorithm. In: Proceedings of the conference on systems, man, and cybernetics, pp 4104\u20134109","DOI":"10.1109\/ICSMC.1997.637339"},{"key":"15_CR64","doi-asserted-by":"crossref","first-page":"1277","DOI":"10.1016\/0031-3203(93)90135-J","volume":"26","author":"NR Pal","year":"1993","unstructured":"Pal NR, Pal SK (1993) A review on image segmentation techniques. Pattern Recogn 26:1277\u20131294","journal-title":"Pattern Recog"},{"key":"15_CR65","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/0031-3203(81)90028-5","volume":"13","author":"KS Fu","year":"1981","unstructured":"Fu KS, Mui JK (1981) A survey on image segmentation. Pattern Recogn 13:3\u201316","journal-title":"Pattern Recogn"},{"key":"15_CR66","volume-title":"Genetic algorithms in search, optimization and machine learning","author":"D Goldberg","year":"1989","unstructured":"Goldberg D (1989) Genetic algorithms in search, optimization and machine learning. Addison-Wesley, Reading"},{"key":"15_CR67","first-page":"33","volume":"2","author":"A Salman","year":"2005","unstructured":"Salman A, Omran M, Engelbrecht A (2005) SIGT: synthetic image generation tool for clustering algorithms. ICGST Int J Graph Vision Image Process (GVIP) 2:33\u201344","journal-title":"ICGST Int J Graph Vision Image Process (GVIP)"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-005-0015-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10044-005-0015-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-005-0015-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T02:52:49Z","timestamp":1706755969000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10044-005-0015-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,11,24]]},"references-count":67,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2006,2]]}},"alternative-id":["15"],"URL":"https:\/\/doi.org\/10.1007\/s10044-005-0015-5","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"value":"1433-7541","type":"print"},{"value":"1433-755X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,11,24]]}}}