{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T04:06:10Z","timestamp":1746245170390,"version":"3.40.4"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319069319"},{"type":"electronic","value":"9783319069326"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-06932-6_22","type":"book-chapter","created":{"date-parts":[[2014,4,18]],"date-time":"2014-04-18T11:14:18Z","timestamp":1397819658000},"page":"222-237","source":"Crossref","is-referenced-by-count":1,"title":["A Novel Clustering Approach: Simple Swarm Clustering"],"prefix":"10.1007","author":[{"given":"Seyed Ghasem","family":"RazaviZadegan","sequence":"first","affiliation":[]},{"given":"Seyed Mohammad","family":"RazaviZadegan","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"22_CR1","doi-asserted-by":"crossref","unstructured":"Razavi Zadegan, S., Mirzaie, M., Sadoughi, F.: Ranked k-medoids: A fast and accurate rank-based partitioning algorithm for clustering large datasets. Knowledge-Based Systems (2012)","DOI":"10.1016\/j.knosys.2012.10.012"},{"issue":"1","key":"22_CR2","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.jbi.2008.05.009","volume":"42","author":"L. Tari","year":"2009","unstructured":"Tari, L., Baral, C., Kim, S.: Fuzzy c-means clustering with prior biological knowledge. J. Biomed. Inform.\u00a042(1), 74\u201381 (2009)","journal-title":"J. Biomed. Inform."},{"issue":"4","key":"22_CR3","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1093\/bioinformatics\/btg025","volume":"19","author":"S. Datta","year":"2003","unstructured":"Datta, S., Datta, S.: Comparisons and validation of statistical clustering techniques for microarray gene expression data. Bioinformatics\u00a019(4), 459\u2013466 (2003)","journal-title":"Bioinformatics"},{"issue":"3","key":"22_CR4","first-page":"586","volume":"11","author":"J. Vesanto","year":"2000","unstructured":"Vesanto, J., Alhoniemi, E.: Clustering of the self-organizing map. ITNN\u00a011(3), 586\u2013600 (2000)","journal-title":"ITNN"},{"issue":"11","key":"22_CR5","doi-asserted-by":"publisher","first-page":"1101","DOI":"10.1109\/34.244673","volume":"15","author":"Z. Wu","year":"1993","unstructured":"Wu, Z., Leahy, R.: An optimal graph theoretic approach to data clustering: Theory and its application to image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a015(11), 1101\u20131113 (1993)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"3","key":"22_CR6","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1016\/j.swevo.2011.06.003","volume":"1","author":"J. Senthilnath","year":"2011","unstructured":"Senthilnath, J., Omkar, S., Mani, V.: Clustering using firefly algorithm: Performance study. Swarm and Evolutionary Computation\u00a01(3), 164\u2013171 (2011)","journal-title":"Swarm and Evolutionary Computation"},{"issue":"9","key":"22_CR7","doi-asserted-by":"publisher","first-page":"10839","DOI":"10.1016\/j.eswa.2011.02.086","volume":"38","author":"S. Kalyani","year":"2011","unstructured":"Kalyani, S., Swarup, K.: Particle swarm optimization based k-means clustering approach for security assessment in power systems. Expert Syst. Appl.\u00a038(9), 10839\u201310846 (2011)","journal-title":"Expert Syst. Appl."},{"key":"22_CR8","unstructured":"Chen, L., Xu, X.H., Chen, Y.X.: An adaptive ant colony clustering algorithm. In: Proceedings of 2004 International Conference on Machine Learning and Cybernetics, vol.\u00a03, pp. 1387\u20131392. IEEE (2004)"},{"key":"22_CR9","first-page":"221","volume":"34","author":"C. Veenhuis","year":"2006","unstructured":"Veenhuis, C., K\u00f6ppen, M.: Data swarm clustering. SIDM\u00a034, 221\u2013241 (2006)","journal-title":"SIDM"},{"key":"22_CR10","series-title":"SCI","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/978-3-540-34956-3_8","volume-title":"Swarm Intelligence in Data Mining","author":"M. Kazemian","year":"2006","unstructured":"Kazemian, M., Ramezani, Y., Lucas, C., Moshiri, B.: Swarm clustering based on flowers pollination by artificial bees. In: Abraham, A., Grosan, C., Ramos, V. (eds.) Swarm Intelligence in Data Mining. SCI, vol.\u00a034, pp. 191\u2013202. Springer, Heidelberg (2006)"},{"key":"22_CR11","doi-asserted-by":"crossref","unstructured":"Lumer, E., Faieta, B.: Diversity and adaptation in populations of clustering ants. In: Proceedings of the 3rd International Conference on Simulation of Adaptive Behavior: From Animals to Animats 3 (1994)","DOI":"10.7551\/mitpress\/3117.003.0071"},{"key":"22_CR12","doi-asserted-by":"crossref","unstructured":"Reynolds, C.W.: Flocks, herds and schools: A distributed behavioral model. ACM SIGGRAPH Computer Graphics\u00a021, 25\u201334","DOI":"10.1145\/37402.37406"},{"key":"22_CR13","doi-asserted-by":"crossref","unstructured":"Reichart, R., Rappoport, A.: The nvi clustering evaluation measure. In: Proceedings of the Thirteenth Conference on Computational Natural Language Learning, pp. 165\u2013173. Association for Computational Linguistics","DOI":"10.3115\/1596374.1596401"},{"key":"22_CR14","doi-asserted-by":"crossref","unstructured":"Vit\u00e1nyi, P.M., Balbach, F.J., Cilibrasi, R.L., Li, M.: Normalized information distance, pp. 45\u201382. Springer (2009)","DOI":"10.1007\/978-0-387-84816-7_3"},{"key":"22_CR15","unstructured":"Rosenberg, A., Hirschberg, J.: V-measure: A conditional entropy-based external cluster evaluation measure. In: EMNLP-CoNLL, vol.\u00a07, pp. 410\u2013420"},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Mirkin, B.: Mathematical classication and clustering. Kluwer Academic Press (1996)","DOI":"10.1007\/978-1-4613-0457-9"},{"issue":"336","key":"22_CR17","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1080\/01621459.1971.10482356","volume":"66","author":"W.M. Rand","year":"1971","unstructured":"Rand, W.M.: Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association\u00a066(336), 846\u2013850 (1971)","journal-title":"Journal of the American Statistical Association"},{"issue":"3","key":"22_CR18","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1197\/jamia.M1733","volume":"12","author":"G. Hripcsak","year":"2005","unstructured":"Hripcsak, G., Rothschild, A.S.: Agreement, the f-measure, and reliability in information retrieval. Journal of the American Medical Informatics Association\u00a012(3), 296\u2013298 (2005)","journal-title":"Journal of the American Medical Informatics Association"}],"container-title":["Communications in Computer and Information Science","Beyond Databases, Architectures, and Structures"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-06932-6_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T12:22:25Z","timestamp":1746188545000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-06932-6_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319069319","9783319069326"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-06932-6_22","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2014]]}}}