{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T20:37:41Z","timestamp":1648586261874},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2015,3,3]],"date-time":"2015-03-03T00:00:00Z","timestamp":1425340800000},"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\/s00357-015-9166-2","type":"journal-article","created":{"date-parts":[[2015,3,2]],"date-time":"2015-03-02T02:15:32Z","timestamp":1425262532000},"page":"241-267","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["TOBAE: A Density-based Agglomerative Clustering Algorithm"],"prefix":"10.1007","volume":"32","author":[{"given":"Shehzad","family":"Khalid","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shahid","family":"Razzaq","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,3,3]]},"reference":[{"key":"9166_CR1","doi-asserted-by":"crossref","unstructured":"ABRAHAM, C., CORNILLON, P.-A., MATZNER-L\u00d8BER, E., and MOLINARI, N. (2003), \u201cUnsupervised Curve Clustering Using B-Splines\u201d, Scandinavian Journal of Statistics, 30(3), 581\u2013595.","DOI":"10.1111\/1467-9469.00350"},{"key":"9166_CR2","doi-asserted-by":"crossref","unstructured":"ALON, J., SCLAROFF, S., KOLLIOS, G., and PAVLOVIC, V. (2003), \u201cDiscovering Clusters in Motion Time-Series Data\u201d, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1, 1\u2013375.","DOI":"10.1109\/CVPR.2003.1211378"},{"key":"9166_CR3","doi-asserted-by":"crossref","unstructured":"ANKERST, M., BREUNIG, M.M., KRIEGEL, H.-P., and SANDER, J. (1999), \u201cOptics: Ordering Points to Identify the Clustering Structure\u201d, ACM Sigmod Record, 28(2), 49-60.","DOI":"10.1145\/304181.304187"},{"key":"9166_CR4","doi-asserted-by":"crossref","unstructured":"BAGNALL, A.J., JANACEK, G.J., and ZHANG, M. (2003), \u201cClustering Time Series from Mixture Polynomial Models with Discretised Data\u201d, University of East Anglia.","DOI":"10.1145\/1014052.1014061"},{"key":"9166_CR5","doi-asserted-by":"crossref","unstructured":"BASHIR, F.I., KHOKHAR, A.A., and SCHONFELD, D. (2007a), \u201cObject Trajectory- Based Activity Classification and Recognition Using Hidden Markov Models\u201d, IEEE Transactions on Image Processing, 16(7), 1912\u20131919.","DOI":"10.1109\/TIP.2007.898960"},{"key":"9166_CR6","doi-asserted-by":"crossref","unstructured":"BASHIR, F.I., KHOKHAR, A.A., and SCHONFELD, D. (2007b), \u201cReal-Time Motion Trajectory-Based Indexing and Retrieval of Video Sequences\u201d, IEEE Transactions on Multimedia, 9(1), 58\u201365.","DOI":"10.1109\/TMM.2006.886346"},{"key":"9166_CR7","doi-asserted-by":"crossref","unstructured":"BOLEY, D., GINI, M. et al. (1999), \u201cPartitioning-Based Clustering for Web Document Categorization\u201d, Decision Support Systems, 27(3), 329\u2013341.","DOI":"10.1016\/S0167-9236(99)00055-X"},{"key":"9166_CR8","doi-asserted-by":"crossref","unstructured":"BUZAN, D., SCLAROFF, S., and KOLLIOS, G. (2004), \u201cExtraction and Clustering of Motion Trajectories in Video\u201d, Proceedings of the 17th IEEE International Conference on Pattern Recognition, 2, 521\u2013524.","DOI":"10.1109\/ICPR.2004.1334287"},{"key":"9166_CR9","doi-asserted-by":"crossref","unstructured":"CONAN-GUEZ, B., and ROSSI, F. (2002), \u201cMulti-Layer Perceptrons for Functional Data Analysis: A Projection Based Approach\u201d, Proceedings of the ICANN 2002 Conference on Artificial Neural Networks, 667\u2013672.","DOI":"10.1007\/3-540-46084-5_109"},{"key":"9166_CR10","doi-asserted-by":"crossref","unstructured":"DAVIES, D.L., and BOULDIN, D.W. (1979), \u201cA Cluster Separation Measure\u201d, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2, 224\u2013227.","DOI":"10.1109\/TPAMI.1979.4766909"},{"key":"9166_CR11","doi-asserted-by":"crossref","unstructured":"DUECK, D., and FREY, B.J. (2007), \u201cNon-Metric Affinity Propagation for Unsupervised Image Categorization, IEEE 11th International Conference on Computer Vision, 1\u20138.","DOI":"10.1109\/ICCV.2007.4408853"},{"key":"9166_CR12","doi-asserted-by":"crossref","unstructured":"DUECK, D., FREY, B.J. et al. (2008), \u201cConstructing Treatment Portfolios Using Affinity Propagation\u201d, Research in Computational Molecular Biology, Heidelberg, Germany: Springer, pp. 360\u2013371.","DOI":"10.1007\/978-3-540-78839-3_31"},{"key":"9166_CR13","doi-asserted-by":"crossref","unstructured":"EVERITT, B.S., LANDAU, S., and LEESE, M. (2001), Cluster Analysis, London: Arnold, A member of the Hodder Headline Group.","DOI":"10.1201\/9781420057492.ch10"},{"key":"9166_CR14","doi-asserted-by":"crossref","unstructured":"FRALEY, C., and RAFTERY, A.E. (2002), \u201cModel-Based Clustering, Discriminant Analysis, and Density Estimation\u201d, Journal of the American Statistical Association, 97(458), 611-631.","DOI":"10.1198\/016214502760047131"},{"key":"9166_CR15","doi-asserted-by":"crossref","unstructured":"FREY, B.J., and DUECK, D. (2007), \u201cClustering by Passing Messages Between Data Points\u201d, Science, 315, 972\u2013976.","DOI":"10.1126\/science.1136800"},{"key":"9166_CR16","doi-asserted-by":"crossref","unstructured":"FREY, B.J., MOHAMMAD, N. et al. (2005), \u201cGenome-Wide Analysis of Mouse Transcripts Using Exon Microarrays and Factor Graphs\u201d, Nature Genetics, 37(9), 991-996.","DOI":"10.1038\/ng1630"},{"key":"9166_CR17","doi-asserted-by":"crossref","unstructured":"GUHA, S., RASTOGI, R., and SHIM, K. (2001), \u201cCure: An Efficient Clustering Algorithm for Large Databases\u201d, Information Systems, 26(1), 35\u201358.","DOI":"10.1016\/S0306-4379(01)00008-4"},{"key":"9166_CR18","doi-asserted-by":"crossref","unstructured":"GUHA, S., RASTOGI, R., and SHIM, K. (1999), \u201cROCK: A Robust Clustering Algorithm for Categorical Attributes\u201d, Proceedings of the 15th IEEE International Conference on Data Engineering, 512\u2013521.","DOI":"10.1109\/ICDE.1999.754967"},{"key":"9166_CR19","doi-asserted-by":"crossref","unstructured":"HINNEBURG, A., and GABRIEL, H.-H. (2007), \u201cDenclue 2.0: Fast Clustering Based on Kernel Density Estimation\u201d, in Advances in Intelligent Data Analysis VII, eds. M.R. Berthold, J. Shawe-Taylor, and N. Lavra\u00b8 Springer, pp. 70\u201380.","DOI":"10.1007\/978-3-540-74825-0_7"},{"key":"9166_CR20","unstructured":"HINNEBURG, A., and KEIM, D.A. (1998), \u201cAn Efficient Approach to Clustering in Large Multimedia Databases with Noise, KDD, 98, 58\u201365."},{"key":"9166_CR21","unstructured":"JAIN, A.K., and DUBES, R.C. (1988), Algorithms for Clustering Data, Upper Saddle River NJ: Prentice-Hall, Inc."},{"key":"9166_CR22","doi-asserted-by":"crossref","unstructured":"JOHNSON, N., and HOGG, D. (1996), \u201cLearning the Distribution of Object Trajectories for Event Recognition\u201d, Image and Vision Computing, 14(8), 609\u2013615.","DOI":"10.1016\/0262-8856(96)01101-8"},{"key":"9166_CR23","doi-asserted-by":"crossref","unstructured":"KARYPIS, G., HAN, E.-H., and KUMAR, V. (1999), \u201cChameleon: Hierarchical Clustering Using Dynamic Modeling, Computer, 32(8), 68\u201375.","DOI":"10.1109\/2.781637"},{"key":"9166_CR24","unstructured":"KEOGH, E., WEI, L., XI, X., LEE,S.-H., and VLACHOS, M. (2006), \u201cLB Keogh Supports Exact Indexing of Shapes Under Rotation Invariance with Arbitrary Representations and Distance Measures\u201d, Proceedings of the 32nd international Conference on Very Large Data Bases, 882\u2013893."},{"key":"9166_CR25","doi-asserted-by":"crossref","unstructured":"KHALID, S. (2010a), \u201cActivity Classification and Anomaly Detection Using\u00a1 i\u00bf m\u00a1\/i\u00bf-mediods Based Modelling of Motion Patterns\u201d, Pattern Recognition, 43(10), 3636-3647.","DOI":"10.1016\/j.patcog.2010.05.006"},{"key":"9166_CR26","doi-asserted-by":"crossref","unstructured":"KHALID, S. (2010b), \u201cMotion-Based Behaviour Learning, Profiling and Classification in the Presence of Anomalies\u201d, Pattern Recognition, 43(1), 173\u2013186.","DOI":"10.1016\/j.patcog.2009.04.025"},{"key":"9166_CR27","doi-asserted-by":"crossref","unstructured":"KHALID, S., and NAFTEL, A. (2010), \u201cAutomatic Motion Learning in the Presence of Anomalies Using Coefficient Feature Space Representation of Trajectories\u201d, Acta Automatica Sinica, 36(5), 655\u2013666.","DOI":"10.1016\/S1874-1029(09)60028-8"},{"key":"9166_CR28","doi-asserted-by":"crossref","unstructured":"KHALID, S., and RAZZAQ, S. (2012), \u201cFrameworks for Multivariate\u00a1 i\u00bf m\u00a1\/i\u00bf-mediods Based Modeling and Classification in Euclidean and General Feature Spaces\u201d, Pattern Recognition, 45(3), 1092\u20131103.","DOI":"10.1016\/j.patcog.2011.08.021"},{"key":"9166_CR29","doi-asserted-by":"crossref","unstructured":"KOHONEN, T. (1997), \u201cLearning Vector Quantization\u201d, Self-Organizing Maps, 30, 203-217.","DOI":"10.1007\/978-3-642-97966-8_6"},{"key":"9166_CR30","unstructured":"LAZIC, N., FREY, B.J., and AARABI, P. (2010), \u201cSolving the Uncapacitated Facility Location Problem Using Message Passing Algorithms\u201d, Proceedings of the International Conference on Artificial Intelligence and Statistics, 429\u2013436."},{"key":"9166_CR31","doi-asserted-by":"crossref","unstructured":"LAZIC, N., GIVONI, I., FREY, B., and AARABI, P. (2009), \u201cFloss: Facility Location for Subspace Segmentation\u201d, Proceedings of the IEEE 12th International Conference on Computer Vision, 825\u2013832.","DOI":"10.1109\/ICCV.2009.5459302"},{"key":"9166_CR32","doi-asserted-by":"crossref","unstructured":"NAFTEL, A., and KHALID, S. (2006), \u201cClassifying Spatiotemporal Object Trajectories Using Unsupervised Learning in the Coefficient Feature Space\u201d, Multimedia Systems, 12(3), 227\u2013238.","DOI":"10.1007\/s00530-006-0058-5"},{"key":"9166_CR33","unstructured":"NG, A.Y., JORDAN, M.I., WEISS, Y. et al. (2002), \u201cOn Spectral Clustering: Analysis and an Algorithm\u201d, Advances in Neural Information Processing Systems, 2, 849\u2013856."},{"key":"9166_CR34","doi-asserted-by":"crossref","unstructured":"OWENS, J., and HUNTER, A. (2000), \u201cApplication of the Self-Organising Map to Trajectory Classification\u201d, Proceedings of the Third IEEE International Workshop on Visual Surveillance, 77\u201383.","DOI":"10.1109\/VS.2000.856860"},{"key":"9166_CR35","doi-asserted-by":"crossref","unstructured":"PORIKLI, F., and HAGA, T. (2004), \u201cEvent Detection by Eigenvector Decomposition Using Object and Frame Features, IEEE Conference on Computer Vision and Pattern Recognition Workshop, 114\u2013114.","DOI":"10.1109\/CVPR.2004.335"},{"key":"9166_CR36","doi-asserted-by":"crossref","unstructured":"SANDER, J., ESTER, M., KRIEGEL, H.-P., and XU, X. (1998), \u201cDensity-Based Clustering in Spatial Databases: The Algorithm Gdbscan and its Applications\u201d, Data Mining and Knowledge Discovery, 2(2), 169\u2013194.","DOI":"10.1023\/A:1009745219419"},{"key":"9166_CR37","doi-asserted-by":"crossref","unstructured":"STAUFFER, C., and GRIMSON, W.E.L. (2000), \u201cLearning Patterns of Activity Using Real-Time Tracking\u201d, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8), 747\u2013757.","DOI":"10.1109\/34.868677"},{"key":"9166_CR38","doi-asserted-by":"crossref","unstructured":"STUETZLE, W. (2003), \u201cEstimating the Cluster Tree of a Density by Analyzing the Minimal Spanning Tree of a Sample\u201d, Journal of Classification, 20(1), 025\u2013047.","DOI":"10.1007\/s00357-003-0004-6"},{"key":"9166_CR39","doi-asserted-by":"crossref","unstructured":"STUETZLE, W., and NUGENT, R. (2010), \u201cA Generalized Single Linkage Method for Estimating the Cluster Tree of a Density\u201d, Journal of Computational and Graphical Statistics, 19(2), 397\u2013418.","DOI":"10.1198\/jcgs.2009.07049"},{"key":"9166_CR40","doi-asserted-by":"crossref","unstructured":"SUMPTER, N., and BULPITT, A. (2000), Learning Spatio-Temporal Patterns for Predicting Object Behaviour, Image and Vision Computing, 18(9), 697\u2013704.","DOI":"10.1016\/S0262-8856(99)00073-6"},{"key":"9166_CR41","doi-asserted-by":"crossref","unstructured":"TAGARELLI, A. and KARYPIS, G. (2013), \u201cA Segment-Based Approach to Clustering Multi-Topic Documents\u201d, Knowledge and Information Systems, 34(3), 563\u2013595.","DOI":"10.1007\/s10115-012-0556-z"},{"key":"9166_CR42","doi-asserted-by":"crossref","unstructured":"VLACHOS, M., KOLLIOS, G., and GUNOPULOS, D. (2002), \u201cDiscovering Similar Multidimensional Trajectories\u201d, Proceedings of the 18th IEEE International Conference on Data Engineering, 673\u2013684.","DOI":"10.1109\/ICDE.2002.994784"},{"key":"9166_CR43","unstructured":"WANG, K., ZHANG, J., LI, D., ZHANG, X., and GUO, T. (2008), \u201cAdaptive Affinity Propagation Clustering\u201d, arXiv, 0805.1096."},{"key":"9166_CR44","doi-asserted-by":"crossref","unstructured":"YAGER, R.R. (2000), \u201cIntelligent Control of the Hierarchical Agglomerative Clustering Process\u201d, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 30(6), 835\u2013845.","DOI":"10.1109\/3477.891145"},{"key":"9166_CR45","unstructured":"ZELNIK-MANOR, L., and PERONA, P. (2004) \u201cSelf-Tuning Spectral Clustering\u201d, Advances in Neural Information Processing Systems, 17, 1601\u20131608."},{"key":"9166_CR46","doi-asserted-by":"crossref","unstructured":"ZHANG, T., RAMAKRISHNAN, R., and LIVNY, M. (1996), \u201cBIRCH: An Efficient Data Clustering Method for Very Large Databases\u201d, ACM SIGMOD Record, 25(2), 103\u2013114.","DOI":"10.1145\/235968.233324"},{"key":"9166_CR47","doi-asserted-by":"crossref","unstructured":"ZHAO, Y., KARYPIS, G., and FAYYAD, U. (2005), \u201cHierarchical Clustering Algorithms for Document Datasets\u201d, Data Mining and Knowledge Discovery, 10(2), 141\u2013168.","DOI":"10.1007\/s10618-005-0361-3"}],"container-title":["Journal of Classification"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00357-015-9166-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00357-015-9166-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00357-015-9166-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,21]],"date-time":"2019-08-21T12:22:54Z","timestamp":1566390174000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00357-015-9166-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,3,3]]},"references-count":47,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2015,7]]}},"alternative-id":["9166"],"URL":"https:\/\/doi.org\/10.1007\/s00357-015-9166-2","relation":{},"ISSN":["0176-4268","1432-1343"],"issn-type":[{"value":"0176-4268","type":"print"},{"value":"1432-1343","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,3,3]]}}}