{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:34:22Z","timestamp":1750221262878,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,10,9]],"date-time":"2018-10-09T00:00:00Z","timestamp":1539043200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,10,9]]},"DOI":"10.1145\/3264746.3264774","type":"proceedings-article","created":{"date-parts":[[2018,10,11]],"date-time":"2018-10-11T13:19:23Z","timestamp":1539263963000},"page":"17-22","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Clustering algorithms on imbalanced data using the SMOTE technique for image segmentation"],"prefix":"10.1145","author":[{"given":"Wajira","family":"Abeysinghe","sequence":"first","affiliation":[{"name":"Kennesaw State University"}]},{"given":"Chih-Cheng","family":"Hung","sequence":"additional","affiliation":[{"name":"Kennesaw State University and Anyang Normal University, China"}]},{"given":"Slim","family":"Bechikh","sequence":"additional","affiliation":[{"name":"University of Tunis, Tunisia"}]},{"given":"Xiaosong","family":"Wang","sequence":"additional","affiliation":[{"name":"Kennesaw State University"}]},{"given":"Altaf","family":"Rattani","sequence":"additional","affiliation":[{"name":"Kennesaw State University"}]}],"member":"320","published-online":{"date-parts":[[2018,10,9]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1188913.1188915"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"W. V. B. J.C. Noordam and L. Buydens \"Multivariate image segmentation with cluster size insensitive fuzzy c-means \" Chemometrics and Intelligent Laboratory Systems 2002.  W. V. B. J.C. Noordam and L. Buydens \"Multivariate image segmentation with cluster size insensitive fuzzy c-means \" Chemometrics and Intelligent Laboratory Systems 2002.","DOI":"10.1016\/S0169-7439(02)00052-7"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(95)00120-4"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.192473"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.11.031"},{"issue":"1","key":"e_1_3_2_1_6_1","article-title":"Handling imbalanced datasets: A review","volume":"30","author":"Kotsiantis D. K. S.","year":"2006","journal-title":"GESTS International Transactions on Computer Science and Engineering"},{"key":"e_1_3_2_1_7_1","unstructured":"M. K. H. Lee S.Jung and S. Kim \"Synthetic minority over-sampling technique based on fuzzy c-means clustering for imbalanced data \" International Conference on Fuzzy Theory and Its Applications (iFUZZY) 2017.  M. K. H. Lee S.Jung and S. Kim \"Synthetic minority over-sampling technique based on fuzzy c-means clustering for imbalanced data \" International Conference on Fuzzy Theory and Its Applications (iFUZZY) 2017."},{"key":"e_1_3_2_1_8_1","unstructured":"https:\/\/www.svds.com\/learning-imbalanced-classes\/. https:\/\/www.svds.com\/learning-imbalanced-classes\/."},{"key":"e_1_3_2_1_9_1","article-title":"Robustness of quantitative compressive sensing mri: The effect of random undersampling patterns on derived parameters for dce- and dsc-mri","author":"David J. V. G. L. R. A. C. C. Q. T. E. Y.","year":"2012","journal-title":"IEEE Transactions on Medical Imaging"},{"volume-title":"ICCIA","year":"2017","author":"Sheng Z. L. K.","key":"e_1_3_2_1_10_1"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/11538059_91"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01307-2_43"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.08.051"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-011-0465-6"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"D. M. P. Felzenszwalb and D. Ramanan \"A discriminatively trained multiscale deformable part model \" IEEE Computer Vision and Pattern Recognition (CVPR) 2008.  D. M. P. Felzenszwalb and D. Ramanan \"A discriminatively trained multiscale deformable part model \" IEEE Computer Vision and Pattern Recognition (CVPR) 2008.","DOI":"10.1109\/CVPR.2008.4587597"},{"key":"e_1_3_2_1_17_1","unstructured":"T.Z.B.H. X. Zhang Q. Song and S. Gou \"Classification of imbalanced hyperspectral imagery data using support vector sampling \" IEEE Geoscience and Remote Sensing Symposium (IGARSS) 2014.  T.Z.B.H. X. Zhang Q. Song and S. Gou \"Classification of imbalanced hyperspectral imagery data using support vector sampling \" IEEE Geoscience and Remote Sensing Symposium (IGARSS) 2014."},{"key":"e_1_3_2_1_18_1","unstructured":"H. Small and J. Ventura \"Handling unbalanced data in deep image segmentation \" University of Colorado 2017.  H. Small and J. Ventura \"Handling unbalanced data in deep image segmentation \" University of Colorado 2017."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"J. C. Bezdek \"Pattern recognition with fuzzy objective function algorithms \" New York: Plenum Press 1981.   J. C. Bezdek \"Pattern recognition with fuzzy objective function algorithms \" New York: Plenum Press 1981.","DOI":"10.1007\/978-1-4757-0450-1"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/91.531779"}],"event":{"name":"RACS '18: International Conference on Research in Adaptive and Convergent Systems","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing","KISM Korean Institute of Smart Media"],"location":"Honolulu Hawaii","acronym":"RACS '18"},"container-title":["Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3264746.3264774","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3264746.3264774","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:10:55Z","timestamp":1750212655000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3264746.3264774"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,9]]},"references-count":20,"alternative-id":["10.1145\/3264746.3264774","10.1145\/3264746"],"URL":"https:\/\/doi.org\/10.1145\/3264746.3264774","relation":{},"subject":[],"published":{"date-parts":[[2018,10,9]]},"assertion":[{"value":"2018-10-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}