{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T11:05:11Z","timestamp":1743073511362,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319399577"},{"type":"electronic","value":"9783319399584"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-39958-4_32","type":"book-chapter","created":{"date-parts":[[2016,5,31]],"date-time":"2016-05-31T13:22:56Z","timestamp":1464700976000},"page":"403-414","source":"Crossref","is-referenced-by-count":0,"title":["Semi-supervised Clustering Based on Artificial Bee Colony Algorithm with Kernel Strategy"],"prefix":"10.1007","author":[{"given":"Jianhua","family":"Dai","sequence":"first","affiliation":[]},{"given":"Huifeng","family":"Han","sequence":"additional","affiliation":[]},{"given":"Hu","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Qinghua","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Bingjie","family":"Wei","sequence":"additional","affiliation":[]},{"given":"Yuejun","family":"Yan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,6,2]]},"reference":[{"issue":"7","key":"32_CR1","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1109\/TPAMI.2002.1017616","volume":"24","author":"T Kanungo","year":"2002","unstructured":"Kanungo, T., Mount, D., Netanyahu, N., Piatko, C., Silverman, R., Wu, A.: An efficient k-means clustering algorithm: analysis and implementation. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 881\u2013892 (2002)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"32_CR2","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1023\/A:1009745219419","volume":"2","author":"J Sander","year":"1998","unstructured":"Sander, J., Ester, M., Kriegel, H., Xu, X.: Density-based clustering in spatial databases: the algorithm GDBscan and its applications. Data Min. Knowl. Discov. 2(2), 169\u2013194 (1998)","journal-title":"Data Min. Knowl. Discov."},{"key":"32_CR3","doi-asserted-by":"crossref","unstructured":"Dhillon, I.S., Guan, Y., Kulis, B.: Kernel k-means: spectral clustering and normalized cuts. In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, pp. 551\u2013556 (2004)","DOI":"10.1145\/1014052.1014118"},{"key":"32_CR4","doi-asserted-by":"crossref","unstructured":"Zhang, R., Rudnicky, A.: A large scale clustering scheme for kernel k-means. In: Proceedings of the 16th International Conference on Pattern Recognition, vol. 4. IEEE, pp. 289\u2013292 (2002)","DOI":"10.1109\/ICPR.2002.1047453"},{"issue":"9","key":"32_CR5","doi-asserted-by":"crossref","first-page":"1455","DOI":"10.1016\/S0031-3203(99)00137-5","volume":"33","author":"U Maulik","year":"2000","unstructured":"Maulik, U., Bandyopadhyay, S.: Genetic algorithm-based clustering technique. Pattern Recogn. 33(9), 1455\u20131465 (2000)","journal-title":"Pattern Recogn."},{"key":"32_CR6","doi-asserted-by":"crossref","unstructured":"Van der Merwe, D., Engelbrecht, A.: Data clustering using particle swarm optimization. In: Proceedings of the 2003 Congress on Evolutionary Computation, vol. 1. IEEE, pp. 215\u2013220 (2003)","DOI":"10.1109\/CEC.2003.1299577"},{"key":"32_CR7","unstructured":"Wagstaff, K., Cardie, C., Rogers, S., Schr\u00f6dl, S.: Constrained k-means clustering with background knowledge. In: Proceedings of the Eighteenth International Conference on Machine Learning, pp. 577\u2013584 (2001)"},{"key":"32_CR8","unstructured":"Basu, S., Banerjee, A., Mooney, R.J.: Semi-supervised clustering by seeding. In: Proceedings of the Nineteenth International Conference on Machine Learning, ICML 2002, pp. 27\u201334 (2002)"},{"issue":"4","key":"32_CR9","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1109\/TKDE.2007.190715","volume":"20","author":"N Kumar","year":"2008","unstructured":"Kumar, N., Kummamuru, K.: Semisupervised clustering with metric learning using relative comparisons. IEEE Trans. Knowl. Data Eng. 20(4), 496\u2013503 (2008)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"32_CR10","volume-title":"Swarm Intelligence: From Natural to Artificial Systems","author":"E Bonabeau","year":"2003","unstructured":"Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, New York (2003)"},{"key":"32_CR11","unstructured":"Karaboga, D.: An idea based on honey bee swarm for numerical optimization. Technnical report, TR06, Erciyes University, Erciyes (2005)"},{"key":"32_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1007\/978-3-540-72950-1_77","volume-title":"Foundations of Fuzzy Logic and Soft Computing","author":"D Karaboga","year":"2007","unstructured":"Karaboga, D., Basturk, B.: Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems. In: Melin, P., Castillo, O., Aguilar, L.T., Kacprzyk, J., Pedrycz, W. (eds.) IFSA 2007. LNCS (LNAI), vol. 4529, pp. 789\u2013798. Springer, Heidelberg (2007)"},{"issue":"1","key":"32_CR13","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1016\/j.asoc.2009.12.025","volume":"11","author":"D Karaboga","year":"2011","unstructured":"Karaboga, D., Ozturk, C.: A novel clustering approach: Artificial bee colony (ABC) algorithm. Appl. Soft Comput. 11(1), 652\u2013657 (2011)","journal-title":"Appl. Soft Comput."},{"issue":"1","key":"32_CR14","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.ejor.2011.06.006","volume":"215","author":"W Szeto","year":"2011","unstructured":"Szeto, W., Wu, Y., Ho, S.C.: An artificial bee colony algorithm for the capacitated vehicle routing problem. Eur. J. Oper. Res. 215(1), 126\u2013135 (2011)","journal-title":"Eur. J. Oper. Res."},{"issue":"1\u20134","key":"32_CR15","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1007\/s10462-009-9127-4","volume":"31","author":"D Karaboga","year":"2009","unstructured":"Karaboga, D., Akay, B.: A survey: algorithms simulating bee swarm intelligence. Artif. Intell. Rev. 31(1\u20134), 61\u201385 (2009)","journal-title":"Artif. Intell. Rev."}],"container-title":["Lecture Notes in Computer Science","Web-Age Information Management"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-39958-4_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T11:25:15Z","timestamp":1498303515000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-39958-4_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319399577","9783319399584"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-39958-4_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}