{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T04:43:55Z","timestamp":1785213835776,"version":"3.55.0"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2015,7,1]],"date-time":"2015-07-01T00:00:00Z","timestamp":1435708800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Classif"],"published-print":{"date-parts":[[2015,7]]},"DOI":"10.1007\/s00357-015-9182-2","type":"journal-article","created":{"date-parts":[[2015,7,7]],"date-time":"2015-07-07T03:06:14Z","timestamp":1436238374000},"page":"212-240","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Point Clustering via Voting Maximization"],"prefix":"10.1007","volume":"32","author":[{"given":"Costas","family":"Panagiotakis","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2015,7,8]]},"reference":[{"key":"9182_CR1","unstructured":"ARTHUR, D., and VASSILVITSKII, S. (2007), \u201cK-Means++: The Advantages of Careful Seeding\u201d, in Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1027\u20131035."},{"key":"9182_CR2","unstructured":"BLAKE, C., KEOUGH, E., and MERZ, C.J. (1998), \u201cUCI Repository of Machine Learning Database\u201d, http:\/\/archive.ics.uci.edu\/ml\/ ."},{"key":"9182_CR3","doi-asserted-by":"crossref","unstructured":"BRUCKER, P. (1978), \u201cOn the Complexity of Clustering Problems\u201d, Optimization and Operations Research 157, 45\u201354.","DOI":"10.1007\/978-3-642-95322-4_5"},{"key":"9182_CR4","doi-asserted-by":"crossref","unstructured":"CHEN, W.-Y., SONG, Y., BAI, H., LIN, C.J., and CHANG, E.Y. (2011), \u201cParallel Spectral Clustering in Distributed Systems\u201d, IEEE Transactions on Pattern Analysis and Machine Intelligence 33(3), 568\u2013586.","DOI":"10.1109\/TPAMI.2010.88"},{"key":"9182_CR5","doi-asserted-by":"crossref","unstructured":"CHOU, C., SU, M., and LAI, E. (2004), \u201cA New Cluster Validity Measure and Its Application to Image Compression\u201d, Pattern Analysis and Applications 7(2), 205\u2013220.","DOI":"10.1007\/s10044-004-0218-1"},{"key":"9182_CR6","doi-asserted-by":"crossref","unstructured":"DAS, S., ABRAHAM, A., and KONAR, A. (2008), \u201cAutomatic Clustering Using an Improved Differential Evolution Algorithm\u201d, IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 38(1), 218\u2013237.","DOI":"10.1109\/TSMCA.2007.909595"},{"key":"9182_CR7","doi-asserted-by":"crossref","unstructured":"DAY, W., and EDELSBRUNNER, H. (1984), \u201cEfficient Algorithms for Agglomerative Hierarchical Clustering Methods\u201d, Journal of Classification 1(1), 7\u201324.","DOI":"10.1007\/BF01890115"},{"key":"9182_CR8","unstructured":"DEM\u02c7SAR, J. (2006), \u201cStatistical Comparisons of Classifiers Over Multiple Data Sets\u201d, The Journal of Machine Learning Research 7, 1\u201330."},{"key":"9182_CR9","doi-asserted-by":"crossref","unstructured":"DRINEAS, P., FRIEZE, A., KANNAN, R., VEMPALA, S., and VINAY, V. (2004), \u201cClustering Large Graphs via the Singular Value Decomposition\u201d, Machine Learning 56(1), 9\u201333.","DOI":"10.1023\/B:MACH.0000033113.59016.96"},{"key":"9182_CR10","doi-asserted-by":"crossref","unstructured":"FREY, B., and DUECK, D. (2007), \u201cClustering by Passing Messages Between Data Points\u201d, Science 315(5814), 972\u2013976.","DOI":"10.1126\/science.1136800"},{"key":"9182_CR11","doi-asserted-by":"crossref","unstructured":"FRIGUI, H., and KRISHNAPURAM, R. (1999), \u201cA Robust Competitive Clustering Algorithm with Applications in Computer Vision\u201d, IEEE Transactions on Pattern Analysis and Machine Intelligence 21(5), 450\u2013465.","DOI":"10.1109\/34.765656"},{"key":"9182_CR12","doi-asserted-by":"crossref","unstructured":"GUPTA, U., and RANGANATHAN, N. (2010), \u201cA Game Theoretic Approach for Simultaneous Compaction and Equipartitioning of Spatial Data Sets\u201d, IEEE Transactions on Knowledge and Data Engineering 22(4), 465\u2013478.","DOI":"10.1109\/TKDE.2009.110"},{"key":"9182_CR13","doi-asserted-by":"crossref","unstructured":"HRUSCHKA, E., CAMPELLO, R., FREITAS, A., and DE CARVALHO, A. (2009), \u201cA Survey of Evolutionary Algorithms for Clustering\u201d, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 39(2), 133\u2013155.","DOI":"10.1109\/TSMCC.2008.2007252"},{"key":"9182_CR14","doi-asserted-by":"crossref","unstructured":"HUBERT, L., and ARABIE, P. (1985), \u201cComparing Partitions\u201d, Journal of Classification 2(1), 193\u2013218.","DOI":"10.1007\/BF01908075"},{"key":"9182_CR15","doi-asserted-by":"crossref","unstructured":"JAIN, A., MURTY, M., and FLYNN, P. (1999), \u201cData Clustering: A Review\u201d, ACM Computing Surveys (CSUR) 31(3), 264\u2013323.","DOI":"10.1145\/331499.331504"},{"key":"9182_CR16","doi-asserted-by":"crossref","unstructured":"JAIN, A. (2010), \u201cData Clustering: 50 Years Beyond K-Means\u201d, Pattern Recognition Letters 31(8), 651\u2013666.","DOI":"10.1016\/j.patrec.2009.09.011"},{"key":"9182_CR17","doi-asserted-by":"crossref","unstructured":"KATSAVOUNIDIS, I., KUO, C.-C.J., ZHANG, Z. (1994), \u201cA New Initialization Technique for Generalized Lloyd Iteration\u201d, IEEE Signal Processing Letters 1(10), 144\u2013146.","DOI":"10.1109\/97.329844"},{"key":"9182_CR18","doi-asserted-by":"crossref","unstructured":"KUHN, H. (1955), \u201cThe Hungarian Method for the Assignment Problem\u201d, Naval Research Logistics Quarterly 2(1-2), 83\u201397.","DOI":"10.1002\/nav.3800020109"},{"key":"9182_CR19","doi-asserted-by":"crossref","unstructured":"LASZLO, M., and MUKHERJEE, S. (2005), \u201cMinimum Spanning Tree Partitioning Algorithm for Microaggregation\u201d, IEEE Transactions on Knowledge and Data Engineering 17(7), 902\u2013911.","DOI":"10.1109\/TKDE.2005.112"},{"key":"9182_CR20","unstructured":"MACQUEEN, J.B. (1967), \u201cSome Methods for Classification and Analysis of Multivariate Observations\u201d, in Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Vol. 1, pp. 281\u2013297."},{"key":"9182_CR21","doi-asserted-by":"crossref","unstructured":"NEWMAN, M., and GIRVAN, M. (2004), \u201cFinding and Evaluating Community Structure in Networks\u201d, Physical Review E 69(2), 026\u2013113.","DOI":"10.1103\/PhysRevE.69.026113"},{"key":"9182_CR22","doi-asserted-by":"crossref","unstructured":"PANAGIOTAKIS, C., PELEKIS, N., and KOPANAKIS, I. (2009), \u201cTrajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases\u201d, in Proceedings of the 8th International Symposium on Intelligent Data Analysis, pp. 131\u2013142.","DOI":"10.1007\/978-3-642-03915-7_12"},{"key":"9182_CR23","doi-asserted-by":"crossref","unstructured":"PANAGIOTAKIS, C., PELEKIS, N., KOPANAKIS, I., RAMASSO, E., and THEODORIDIS, Y. (2012), \u201cSegmentation and Sampling of Moving Object Trajectories Based on Representativeness\u201d, IEEE Transactions on Knowledge and Data Engineering 24(7), 1328\u20131343.","DOI":"10.1109\/TKDE.2011.39"},{"key":"9182_CR24","doi-asserted-by":"crossref","unstructured":"PANAGIOTAKIS, C., and TZIRITAS, G. (2013), \u201cSuccessive Group Selection for Microaggregation\u201d, IEEE Transactions on Knowledge and Data Engineering 25(5), 1191\u20131195.","DOI":"10.1109\/TKDE.2011.242"},{"key":"9182_CR25","unstructured":"PELLEG, D., and MOORE, A. (2000), \u201cX-means: Extending K-means with Efficient Estimation of the Number of Clusters\u201d, in Proceedings of the Seventeenth International Conference on Machine Learning, San Francisco: Morgan Kaufmann, pp.727\u2013734."},{"key":"9182_CR26","doi-asserted-by":"crossref","unstructured":"PELEKIS, N., KOPANAKIS, I., PANAGIOTAKIS, C., and THEODORIDIS, Y. (2010), \u201cUnsupervised Trajectory Sampling\u201d, in Machine Learning and Knowledge Discovery in Databases, Springer, pp. 17\u201333.","DOI":"10.1007\/978-3-642-15939-8_2"},{"key":"9182_CR27","doi-asserted-by":"crossref","unstructured":"THEODORIDIS, S., and KOUTROUMBAS, K. (2006), Pattern Recognition (3rd ed.), Elsevier. VON LUXBURG, U. (2007), \u201cA Tutorial on Spectral Clustering\u201d, Statistics and Computing 17(4), 395\u2013416.","DOI":"10.1007\/s11222-007-9033-z"}],"container-title":["Journal of Classification"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00357-015-9182-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00357-015-9182-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00357-015-9182-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,28]],"date-time":"2019-08-28T01:38:22Z","timestamp":1566956302000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00357-015-9182-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7]]},"references-count":27,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2015,7]]}},"alternative-id":["9182"],"URL":"https:\/\/doi.org\/10.1007\/s00357-015-9182-2","relation":{},"ISSN":["0176-4268","1432-1343"],"issn-type":[{"value":"0176-4268","type":"print"},{"value":"1432-1343","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,7]]}}}