{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T20:11:10Z","timestamp":1688155870641},"reference-count":25,"publisher":"International Academy Publishing (IAP)","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSW"],"DOI":"10.4304\/jsw.8.4.955-962","type":"journal-article","created":{"date-parts":[[2013,4,1]],"date-time":"2013-04-01T21:39:22Z","timestamp":1364852362000},"source":"Crossref","is-referenced-by-count":1,"title":["Novel Three-Phase Clustering based on Support Vector Technique"],"prefix":"10.17706","volume":"8","author":[{"given":"Ping","family":"Ling","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangsheng","family":"Rong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangyang","family":"You","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7163","published-online":{"date-parts":[[2013,4,1]]},"reference":[{"key":"ref1","first-page":"125","article-title":"Support Vector Clustering","volume":"2","author":"Ben-Hur","year":"2001","unstructured":"[1] A. Ben-Hur, D.Horn, H. T. Siegelmann, \"Support Vector Clustering,\" Journal of Machine Learning Research, vol. 2, pp. 125-137, 2001.","journal-title":"J Mach Learn Res","ISSN":"http:\/\/id.crossref.org\/issn\/1532-4435","issn-type":"print"},{"key":"ref2","first-page":"898","article-title":"Support Vector Clustering Through Proximity Graph Modeling","volume-title":"Proceedings of 9th International Conference on Neural Information Processing","author":"Yang","year":"2002","unstructured":"[2] J. Yang, V. Estivill-Castro, S. Chalup, \"Support Vector Clustering Through Proximity Graph Modeling,\" Proceedings of 9th International Conference on Neural Information Processing, pp. 898-903, 2002."},{"issue":"3","key":"ref3","first-page":"219","article-title":"Two algorithms for constructing a Delaunay triangulation","volume":"9","author":"Lee","year":"1980","unstructured":"[3] D. T. Lee, B. J. Schachter, \"Two algorithms for constructing a Delaunay triangulation,\" International. Journal of Parallel Programming, vol. 9(3), pp. 219-242, 1980.","journal-title":"Int J Parallel Program","ISSN":"http:\/\/id.crossref.org\/issn\/0885-7458","issn-type":"print"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMM.90-93.3277"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s12541-011-0056-1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.comgeo.2010.10.001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.47"},{"key":"ref8","first-page":"484","article-title":"Cone Cluster Labeling for Support Vector Clustering","volume-title":"Proceedings of the Sixth SIAM International Conference on Data Mining","author":"Lee","year":"2006","unstructured":"[9] S.H. Lee, K.M. Daniels, \"Cone Cluster Labeling for Support Vector Clustering,\" Proceedings of the Sixth SIAM International Conference on Data Mining, pp. 484-488, 2006."},{"key":"ref9","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","volume-title":"Proceedings of the 14th Advances in Neural Information Processing Systems","author":"Ng","year":"2001","unstructured":"[10] A. Ng, M. Jordan, Y. Weiss, \"On spectral clustering: Analysis and an algorithm,\" Proceedings of the 14th Advances in Neural Information Processing Systems, pp. 849-856, 2001."},{"issue":"4","key":"ref10","first-page":"527","article-title":"Disturbing Analysis on Spectrum Clustering","volume":"37","author":"Zheng","year":"2007","unstructured":"[11] T. Zheng, X. B. Li, Y. W. Ju, \"Disturbing Analysis on Spectrum Clustering,\" Science in China (Series E), vol. 37(4), pp. 527-543, 2007.","journal-title":"Sci China Ser E","ISSN":"http:\/\/id.crossref.org\/issn\/1006-9321","issn-type":"print"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-007-0097-7"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/772862.772878"},{"key":"ref13","first-page":"91","article-title":"Refining Initial Points for K-Means Clustering","volume-title":"Proceeding of 15th International Conference on Machine Learning","author":"Bradley","year":"1998","unstructured":"[16] P. S. Bradley, U. M. Fayyad. \"Refining Initial Points for K-Means Clustering,\" Proceeding of 15th International Conference on Machine Learning, pp. 91-99, 1998."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.1000150"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1360\/crad20070418","article-title":"A Direct Clustering Algorithm Based on Generalized Information Distance","volume":"4","author":"Ding","year":"2007","unstructured":"[18] S. F. Ding, Z. Z. Shi, F. X. Jin, et al., \"A Direct Clustering Algorithm Based on Generalized Information Distance,\" Journal of Computer Research and Development, vol. 4, pp. 674-679, 2007.","journal-title":"J Comput Res Dev","ISSN":"http:\/\/id.crossref.org\/issn\/1000-1239","issn-type":"print"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25541-0_89"},{"key":"ref17","article-title":"Learning with Kernels: Support Vector Machines","volume-title":"Regularization Optimization and Beyond","author":"Sch\u00f6lkopf","year":"2002","unstructured":"[20] B. Sch\u00f6lkopf, A. J. Smola, \"Learning with Kernels: Support Vector Machines,\" Regularization, Optimization, and Beyond, Cambridge, MIT Press, 2002."},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24785-9_58"},{"key":"ref19","first-page":"1823","article-title":"Application","volume":"18","author":"Unni","year":"2004","unstructured":"[22] K.N.N. Unni, R. D. Bettignies, S.-D. Seignon and J.-M. Nunzi, \"Application Physics Letters,\" vol. 18, pp. 1823-1838, 2004.","journal-title":"Phys Lett","ISSN":"http:\/\/id.crossref.org\/issn\/0031-9163","issn-type":"print"},{"key":"ref20","volume-title":"C4 5 Programs for Machine Learning","author":"Quinlan","year":"1993","unstructured":"[23] J. R. Quinlan, \"C4.5: Programs for Machine Learning,\" Morgan-Kaufmann Publishers, 1993."},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.11.002"},{"key":"ref22","first-page":"175","article-title":"Control of mechatronics systems: Ball bearing fault diagnosis using machine learning techniques","volume-title":"Proceedings of Control Conference","author":"Peng","year":"2011","unstructured":"[25] H. W. Peng, P. J. Chiang, \"Control of mechatronics systems: Ball bearing fault diagnosis using machine learning techniques,\" Proceedings of Control Conference, pp. 175-180, 2011"},{"key":"ref22","doi-asserted-by":"crossref","unstructured":"[4] M. Qi, T. T. Cao, T. S. Tan, \"Computing 2D Constrained Delaunay Triangulation Using Graphics Hardware,\" Technical Report, #TRB3\/11, of National University of Singapore, 2011.","DOI":"10.1145\/2159616.2159623"},{"key":"ref22","unstructured":"[14] http:\/\/www.uncc.edu\/knowledgediscovery"},{"key":"ref22","unstructured":"[15] http:\/\/www.cs.cmu.edu\/afs\/cs\/project\/theo-11\/www\/naive-bayes.html"}],"container-title":["Journal of Software"],"original-title":[],"deposited":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T19:28:33Z","timestamp":1688153313000},"score":1,"resource":{"primary":{"URL":"http:\/\/ojs.academypublisher.com\/index.php\/jsw\/article\/view\/8076"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,4,1]]},"references-count":25,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2013,4,1]]}},"URL":"https:\/\/doi.org\/10.4304\/jsw.8.4.955-962","relation":{},"ISSN":["1796-217X"],"issn-type":[{"value":"1796-217X","type":"print"}],"subject":[],"published":{"date-parts":[[2013,4,1]]}}}