{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T21:20:45Z","timestamp":1769376045797,"version":"3.49.0"},"reference-count":26,"publisher":"World Scientific Pub Co Pte Ltd","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2005,5]]},"abstract":"<jats:p>An image clustering method that is based on the particle swarm optimizer (PSO) is developed in this paper. The algorithm finds the centroids of a user specified number of clusters, where each cluster groups together with similar image primitives. To illustrate its wide applicability, the proposed image classifier has been applied to synthetic, MRI and satellite images. Experimental results show that the PSO image classifier performs better than state-of-the-art image classifiers (namely, K-means, Fuzzy C-means, K-Harmonic means and Genetic Algorithms) in all measured criteria. The influence of different values of PSO control parameters on performance is also illustrated.<\/jats:p>","DOI":"10.1142\/s0218001405004083","type":"journal-article","created":{"date-parts":[[2005,5,9]],"date-time":"2005-05-09T11:35:25Z","timestamp":1115638525000},"page":"297-321","source":"Crossref","is-referenced-by-count":212,"title":["PARTICLE SWARM OPTIMIZATION METHOD FOR IMAGE CLUSTERING"],"prefix":"10.1142","volume":"19","author":[{"given":"M.","family":"OMRAN","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Pretoria, South Africa"}]},{"given":"A. P.","family":"ENGELBRECHT","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Pretoria, South Africa"}]},{"given":"A.","family":"SALMAN","sequence":"additional","affiliation":[{"name":"Computer Engineering Department, Kuwait University, Kuwait"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1002\/bs.3830120210"},{"key":"rf5","first-page":"1","volume":"2","author":"Bezdek J.","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell."},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-0450-1"},{"key":"rf7","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural Networks for Pattern Recognition","author":"Bishop C.","year":"1995"},{"key":"rf9","first-page":"1051","volume":"2","author":"Coello-Coello C. A.","journal-title":"IEEE Congr. Evolut. Comput."},{"key":"rf10","volume-title":"Machine Vision: Theory, Algorithms, Practicalities","author":"Davies E.","year":"1997"},{"key":"rf11","volume-title":"Computational Intelligence: An Introduction","author":"Engelbrecht A. P.","year":"2002"},{"key":"rf13","volume-title":"Genetic Algorithms and Grouping Problems","author":"Falkenauer E.","year":"1998"},{"key":"rf14","first-page":"768","volume":"21","author":"Forgy E.","journal-title":"Biometrics"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1109\/34.765656"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1109\/34.192473"},{"key":"rf18","first-page":"600","author":"Hamerly G.","journal-title":"Proc. ACM Conf. Information and Knowledge Management"},{"key":"rf19","volume-title":"Fuzzy Cluster Analysis, Methods for Classification, Data Analysis and Image Recognition","author":"Hoppner F.","year":"1999"},{"key":"rf20","first-page":"33","volume":"1","author":"Huang K.","journal-title":"Photogramm. Engin. Rem. Sens."},{"key":"rf25","volume-title":"Swarm Intelligence","author":"Kennedy J.","year":"2001"},{"key":"rf27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-97610-0"},{"key":"rf28","doi-asserted-by":"publisher","DOI":"10.1109\/34.895974"},{"key":"rf29","volume-title":"Remote Sensing and Image Interpretation","author":"Lillesand T.","year":"1994"},{"key":"rf32","volume-title":"Computer Processing of Remotely Sensed Images","author":"Mather P.","year":"1999"},{"key":"rf33","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(99)00137-5"},{"key":"rf34","volume-title":"The EM Algorithm and Extensions","author":"McLachlan G.","year":"1997"},{"key":"rf36","doi-asserted-by":"publisher","DOI":"10.1080\/01431169508954607"},{"key":"rf39","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45268-0_30"},{"key":"rf40","doi-asserted-by":"publisher","DOI":"10.1137\/1026034"},{"key":"rf42","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(96)00131-8"},{"key":"rf51","doi-asserted-by":"publisher","DOI":"10.1109\/42.906424"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001405004083","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T20:42:29Z","timestamp":1706215349000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001405004083"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005,5]]},"references-count":26,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2005,5]]}},"alternative-id":["10.1142\/S0218001405004083"],"URL":"https:\/\/doi.org\/10.1142\/s0218001405004083","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,5]]}}}