{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,10]],"date-time":"2025-02-10T05:12:31Z","timestamp":1739164351747,"version":"3.37.0"},"publisher-location":"Berlin, Heidelberg","reference-count":41,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642015328"},{"type":"electronic","value":"9783642015335"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009]]},"DOI":"10.1007\/978-3-642-01533-5_12","type":"book-chapter","created":{"date-parts":[[2009,5,26]],"date-time":"2009-05-26T11:37:51Z","timestamp":1243337871000},"page":"295-310","source":"Crossref","is-referenced-by-count":5,"title":["An Overview of Fuzzy C-Means Based Image Clustering Algorithms"],"prefix":"10.1007","author":[{"given":"Huiyu","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gerald","family":"Schaefer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"12_CR1","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1109\/42.996338","volume":"21","author":"M. Ahmed","year":"2002","unstructured":"Ahmed, M., Yamany, S., Mohamed, N., Farag, A., Moriaty, T.: A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data. IEEE Trans. Medical Imaging\u00a021, 193\u2013199 (2002)","journal-title":"IEEE Trans. Medical Imaging"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Auephanwiriyakul, S., Keller, J.M.: Analysis and efficient implementation of a linguistic fuzzy c-means. IEEE Trans. Fuzzy Systems, 563\u2013581 (2002)","DOI":"10.1109\/TFUZZ.2002.803492"},{"key":"12_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TPAMI.1980.4766964","volume":"2","author":"J. Bezdek","year":"1980","unstructured":"Bezdek, J.: A convergence theorem for the fuzzy isodata clustering algorithms. IEEE Trans. Pattern Analysis and Machine Intelligence\u00a02, 1\u20138 (1980)","journal-title":"IEEE Trans. Pattern Analysis and Machine Intelligence"},{"issue":"3","key":"12_CR4","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1016\/j.patcog.2006.07.011","volume":"40","author":"W. Cai","year":"2007","unstructured":"Cai, W., Chen, S., Zhang, D.: Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern Recognition\u00a040(3), 825\u2013838 (2007)","journal-title":"Pattern Recognition"},{"key":"12_CR5","doi-asserted-by":"publisher","first-page":"1907","DOI":"10.1109\/TSMCB.2004.831165","volume":"34","author":"S.C. Chen","year":"2004","unstructured":"Chen, S.C., Zhang, D.Q.: Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Trans. Systems, Man and Cybernetics - Part B: Cybernetics\u00a034, 1907\u20131916 (2004)","journal-title":"IEEE Trans. Systems, Man and Cybernetics - Part B: Cybernetics"},{"key":"12_CR6","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1016\/S0031-3203(97)00113-1","volume":"31","author":"H.D. Cheng","year":"1998","unstructured":"Cheng, H.D., Chen, J., Li, J.: Thresholding selection based on fuzzy c-partition entropy approach. Pattern Recognition\u00a031, 857\u2013870 (1998)","journal-title":"Pattern Recognition"},{"key":"12_CR7","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/S0165-0114(96)00232-1","volume":"93","author":"T. Cheng","year":"1998","unstructured":"Cheng, T., Goldgof, D., Hall, L.: Fast fuzzy clustering. Fuzzy Sets and Systems\u00a093, 49\u201356 (1998)","journal-title":"Fuzzy Sets and Systems"},{"key":"12_CR8","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.compmedimag.2005.10.001","volume":"30","author":"K. Chuang","year":"2006","unstructured":"Chuang, K., Tzeng, S., Chen, H., Wu, J., Chen, T.: Fuzzy c-means clustering with spatial information for image segmentation. Computerized Medical Imaging and Graphics\u00a030, 9\u201315 (2006)","journal-title":"Computerized Medical Imaging and Graphics"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Comaniciu, D., Meer, P.: Mean shift analysis and applications. In: 7th Int. Conference on Computer Vision, pp. 1197\u20131203 (1999)","DOI":"10.1109\/ICCV.1999.790416"},{"key":"12_CR10","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1109\/34.1000236","volume":"24","author":"D. Comaniciu","year":"2002","unstructured":"Comaniciu, D., Meer, P.: Mean shift: a robust approach toward feature space analysis. IEEE Trans. Pattern Analysis and Machine Intelligence\u00a024, 603\u2013619 (2002)","journal-title":"IEEE Trans. Pattern Analysis and Machine Intelligence"},{"key":"12_CR11","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/S0167-9473(02)00226-8","volume":"43","author":"R. Coppi","year":"2003","unstructured":"Coppi, R., D\u2019Urso, P.: Three-way fuzzy clustering models for LR fuzzy time trajectories. Computational Statistics & Data Analysis\u00a043, 149\u2013177 (2003)","journal-title":"Computational Statistics & Data Analysis"},{"key":"12_CR12","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","volume":"13","author":"T.M. Cover","year":"1967","unstructured":"Cover, T.M., Hart, P.E.: Nearest neighboring pattern classification. IEEE Trans. Information Theory\u00a013, 21\u201327 (1967)","journal-title":"IEEE Trans. Information Theory"},{"key":"12_CR13","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1109\/91.580801","volume":"5","author":"R.N. Dave","year":"1997","unstructured":"Dave, R.N., Krishnapuram, R.: Robust clustering methods: a united view. IEEE Trans. Fuzzy Systems\u00a05, 270\u2013293 (1997)","journal-title":"IEEE Trans. Fuzzy Systems"},{"key":"12_CR14","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1109\/TFUZZ.2003.809902","volume":"11","author":"S. Eschrich","year":"2003","unstructured":"Eschrich, S., Ke, J., Hall, L., Goldgof, D.: Fast accurate fuzzy clustering through data reduction. IEEE Trans. Fuzzy Systems\u00a011, 262\u2013270 (2003)","journal-title":"IEEE Trans. Fuzzy Systems"},{"key":"12_CR15","doi-asserted-by":"publisher","first-page":"1607","DOI":"10.1016\/S0167-8655(02)00401-4","volume":"24","author":"J.-L. Fan","year":"2003","unstructured":"Fan, J.-L., Zhen, W.Z., Xie, W.X.: Suppressed fuzzy c-means clustering algorithm. Pattern Recognition Letters\u00a024, 1607\u20131612 (2003)","journal-title":"Pattern Recognition Letters"},{"key":"12_CR16","volume-title":"Physics from Fisher information, A Unification","author":"B. Frieden","year":"1999","unstructured":"Frieden, B.: Physics from Fisher information, A Unification. Cambridge University Press, Cambridge (1999)"},{"key":"12_CR17","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1016\/0031-3203(91)90022-W","volume":"24","author":"K.C. Gowda","year":"1991","unstructured":"Gowda, K.C., Diday, E.: Symbolic clustering using a new dissimilarity measure. Pattern Recognition\u00a024, 567\u2013578 (1991)","journal-title":"Pattern Recognition"},{"key":"12_CR18","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1016\/0031-3203(94)90119-8","volume":"27","author":"R.J. Hathaway","year":"1994","unstructured":"Hathaway, R.J., Bezdek, J.C.: NERF c-means: Non-euclidean relational fuzzy clustering. Pattern Recognition\u00a027, 429\u2013437 (1994)","journal-title":"Pattern Recognition"},{"key":"12_CR19","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1109\/91.873580","volume":"8","author":"R.J. Hathaway","year":"2000","unstructured":"Hathaway, R.J., Bezdek, J.C., Hu, Y.: Generalised fuzzy c-means clustering strategies using l p norm distance. IEEE Trans. Fuzzy Systems\u00a08, 576\u2013582 (2000)","journal-title":"IEEE Trans. Fuzzy Systems"},{"key":"12_CR20","first-page":"141","volume":"10","author":"R. Hu","year":"2002","unstructured":"Hu, R., Hathaway, L.: On efficiency of optimization in fuzzy c-means. Neural, Parallel and Scientific Computation\u00a010, 141\u2013156 (2002)","journal-title":"Neural, Parallel and Scientific Computation"},{"issue":"14","key":"12_CR21","doi-asserted-by":"publisher","first-page":"1603","DOI":"10.1016\/j.patrec.2004.06.006","volume":"25","author":"W.-L. Hung","year":"2004","unstructured":"Hung, W.-L., Yang, M.-S.: Similarity measures of intuitionistic fuzzy sets based on hausdorff distance. Pattern Recognition Letters\u00a025(14), 1603\u20131611 (2004)","journal-title":"Pattern Recognition Letters"},{"key":"12_CR22","doi-asserted-by":"crossref","unstructured":"Kersten, P.R.: Implementing the fuzzy c-medians clustering algorithm. In: IEEE Conf. Fuzzy Syst., pp. 957\u2013962 (1997)","DOI":"10.1109\/FUZZY.1997.622838"},{"issue":"2","key":"12_CR23","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1109\/91.995126","volume":"10","author":"J. Kolen","year":"2002","unstructured":"Kolen, J., Hutcheson, T.: Reducing the time complexity of the fuzzy c-means algorithm. IEEE Trans. Fuzzy Systems\u00a010(2), 263\u2013267 (2002)","journal-title":"IEEE Trans. Fuzzy Systems"},{"key":"12_CR24","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/91.227387","volume":"1","author":"R. Krishnapuram","year":"1993","unstructured":"Krishnapuram, R., Keller, J.M.: A probabilistic approach to clustering. IEEE Trans. Fuzzy Systems\u00a01, 98\u2013110 (1993)","journal-title":"IEEE Trans. Fuzzy Systems"},{"key":"12_CR25","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/S0165-0114(02)00372-X","volume":"137","author":"J. Leski","year":"2003","unstructured":"Leski, J.: Toward a robust fuzzy clustering. Fuzzy Sets and Systems\u00a0137, 215\u2013233 (2003)","journal-title":"Fuzzy Sets and Systems"},{"issue":"6","key":"12_CR26","doi-asserted-by":"publisher","first-page":"1325","DOI":"10.1016\/S0031-3203(02)00049-3","volume":"36","author":"M. Menard","year":"2003","unstructured":"Menard, M., Courboulay, V., Dardignac, P.-A.: Possibilistic and probabilistic fuzzy clustering: unification within the framework of the non-extensive thermostatistics. Pattern Recognition\u00a036(6), 1325\u20131342 (2003)","journal-title":"Pattern Recognition"},{"key":"12_CR27","first-page":"421","volume":"25","author":"S. Miyamoto","year":"1995","unstructured":"Miyamoto, S., Agusta, Y.: An efficient algorithm for l 1 fuzzy c-means and its termination. Contr. Cybern.\u00a025, 421\u2013436 (1995)","journal-title":"Contr. Cybern."},{"key":"12_CR28","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1109\/91.705509","volume":"6","author":"W. Pedrycz","year":"1998","unstructured":"Pedrycz, W., Bezdek, J.C., Hathaway, R.J., Rogers, G.W.: Two nonparametric models for fusing heterogeneous fuzzy data. IEEE Trans. Fuzzy Systems\u00a06, 411\u2013425 (1998)","journal-title":"IEEE Trans. Fuzzy Systems"},{"key":"12_CR29","doi-asserted-by":"crossref","unstructured":"Sato, M., Sato, Y.: Fuzzy clustering model for fuzzy data. In: IEEE Int. Conference on Fuzzy Systems, pp. 2123\u20132128 (1995)","DOI":"10.1109\/FUZZY.1995.409973"},{"key":"12_CR30","doi-asserted-by":"crossref","unstructured":"Szilagyi, L., Benyo, Z., Szilagyii, S.M., Adam, H.S.: MR brain image segmentation using an enhanced fuzzy c-means algorithm. In: 25th IEEE Int. Conference on Engineering in Medicine and Biology, vol.\u00a01, pp. 724\u2013726 (2003)","DOI":"10.1109\/IEMBS.2003.1279866"},{"key":"12_CR31","unstructured":"Takata, O., Miyamoto, S., Umayahara, K.: Clustering of data with uncertainties using hausdorff distance. In: 2nd IEEE Int. Conference on Intelligence Processing Systems, pp. 67\u201371 (1998)"},{"key":"12_CR32","doi-asserted-by":"crossref","unstructured":"Takata, O., Miyamoto, S., Umayahara, K.: Fuzzy clustering of data with uncertainties using minimum and maximum distances based on l 1 metric. In: Joint 9th IFSA World Congress and 20th NAFIPS International Conference, pp. 2511\u20132516 (2001)","DOI":"10.1109\/NAFIPS.2001.943617"},{"key":"12_CR33","doi-asserted-by":"crossref","unstructured":"Wang, J., Thiesson, B., Xu, Y., Cohen, M.: Image and video segmentation by anisotropic kernel mean shift. In: 8th European Conference on Computer Vision, pp. 238\u20132492 (2004)","DOI":"10.1007\/978-3-540-24671-8_19"},{"issue":"7","key":"12_CR34","first-page":"63","volume":"28","author":"L.M. Wei","year":"2000","unstructured":"Wei, L.M., Xie, W.X.: Rival checked fuzzy c-means algorithm. Acta Electronica Sinica\u00a028(7), 63\u201366 (2000)","journal-title":"Acta Electronica Sinica"},{"issue":"1","key":"12_CR35","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/0165-0114(95)00308-8","volume":"84","author":"M.-S. Yang","year":"1996","unstructured":"Yang, M.-S., Ko, C.-H.: On a class of fuzzy c-numbers clustering procedures for fuzzy data. Fuzzy Sets and Systems\u00a084(1), 49\u201360 (1996)","journal-title":"Fuzzy Sets and Systems"},{"issue":"2","key":"12_CR36","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/S0165-0114(97)00277-7","volume":"106","author":"M.-S. Yang","year":"1999","unstructured":"Yang, M.-S.: Fuzzy clustering procedures for conical fuzzy vector data. Fuzzy Sets and Systems\u00a0106(2), 189\u2013200 (1999)","journal-title":"Fuzzy Sets and Systems"},{"key":"12_CR37","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/S0165-0114(03)00072-1","volume":"141","author":"M.S. Yang","year":"2004","unstructured":"Yang, M.S., Hwang, P.Y., Chen, D.H.: Fuzzy clustering algorithms for mixed feature variables. Fuzzy Sets and Systems\u00a0141, 301\u2013317 (2004)","journal-title":"Fuzzy Sets and Systems"},{"key":"12_CR38","first-page":"11","volume":"4","author":"Y. Yong","year":"2004","unstructured":"Yong, Y., Chongxun, Z., Pan, L.: A novel fuzzy c-means clustering algorithm for image thresholding. Measurement Science Review\u00a04, 11\u201319 (2004)","journal-title":"Measurement Science Review"},{"key":"12_CR39","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1109\/91.928743","volume":"9","author":"M.S. Zhao","year":"2001","unstructured":"Zhao, M.S., Fu, A.M.N., Yan, H.: A technique of three level thresholding based on probability partition and fuzzy 3-partition. IEEE Trans. Fuzzy Systems\u00a09, 469\u2013479 (2001)","journal-title":"IEEE Trans. Fuzzy Systems"},{"issue":"1","key":"12_CR40","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1109\/JSTSP.2008.2010631","volume":"3","author":"H. Zhou","year":"2009","unstructured":"Zhou, H., Schaefer, G., Sadka, A., Celebi, M.E.: Anisotropic mean shift based fuzzy c-means segmentation of dermoscopy images. IEEE Journal of Selected Topics in Signal Processing\u00a03(1), 26\u201334 (2009)","journal-title":"IEEE Journal of Selected Topics in Signal Processing"},{"key":"12_CR41","doi-asserted-by":"crossref","unstructured":"Zhou, H., Schaefer, G., Shi, C.: A mean shift based fuzzy c-means algorithm for image segmentation. In: 30th IEEE Int. Conference Engineering in Medicine and Biology, pp. 3091\u20133094 (2008)","DOI":"10.1109\/IEMBS.2008.4649857"}],"container-title":["Studies in Computational Intelligence","Foundations of Computational Intelligence Volume 2"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-01533-5_12.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,9]],"date-time":"2025-02-09T18:07:44Z","timestamp":1739124464000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-01533-5_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642015328","9783642015335"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-01533-5_12","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2009]]}}}