{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T22:33:24Z","timestamp":1722033204217},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,10,29]],"date-time":"2018-10-29T00:00:00Z","timestamp":1540771200000},"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":[[2019,4]]},"DOI":"10.1007\/s00357-018-9275-9","type":"journal-article","created":{"date-parts":[[2018,10,29]],"date-time":"2018-10-29T09:26:29Z","timestamp":1540805189000},"page":"3-25","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Growth Mixture Modeling with Measurement Selection"],"prefix":"10.1007","volume":"36","author":[{"given":"Abby","family":"Flynt","sequence":"first","affiliation":[]},{"given":"Nema","family":"Dean","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,10,29]]},"reference":[{"key":"9275_CR1","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1198\/jcgs.2010.08111","volume":"19","author":"JP BAUDRY","year":"2010","unstructured":"BAUDRY, J.P., RAFTERY, A.E., CELEUX, G., LO, K., and GOTTARDO, R. (2010), \u201cCombining Mixture Components for Clustering\u201d, Journal of Computational and Graphical Statistics, 19, 332\u2013353.","journal-title":"Journal of Computational and Graphical Statistics"},{"key":"9275_CR2","first-page":"451","volume":"29","author":"C BIERNACKI","year":"1997","unstructured":"BIERNACKI, C., and GOVAERT, G. (1997), \u201cUsing the Classification Likelihood to Choose the Number of Clusters\u201d, Computing Science and Statistics, 29, 451\u2013457.","journal-title":"Computing Science and Statistics"},{"key":"9275_CR3","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1080\/00949659908811966","volume":"64","author":"AC BIERNACKI","year":"1999","unstructured":"BIERNACKI, A.C., and GOVAERT, G. (1999), \u201cChoosing Models in Model-Based Clustering and Discriminant Analysis\u201d, Journal of Statistical Computation and Simulation, 64, 49\u201371.","journal-title":"Journal of Statistical Computation and Simulation"},{"issue":"1","key":"9275_CR4","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1007\/s10463-009-0258-9","volume":"62","author":"N DEAN","year":"2010","unstructured":"DEAN, N., and RAFTERY, A.E. (2010), \u201cLatent Class Analysis Variable Selection\u201d, Annals of the Institute of Statistical Mathematics, 62(1), 11\u201335.","journal-title":"Annals of the Institute of Statistical Mathematics"},{"key":"9275_CR5","doi-asserted-by":"crossref","unstructured":"DEMPSTER, A.P., LAIRD, N.M., and RUBIN, D.B. (1977), \u201cMaximum Likelihood from Incomplete Data Via the EM Algorithm\u201d, Journal of the Royal Statistical Society, Series B (Methodological), 1\u201338.","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"9275_CR6","doi-asserted-by":"crossref","unstructured":"EVERITT, B., LANDAU, S., LEESE, M., and STAHL, D. (2011), Cluster Analysis, Wiley Series in Probability and Statistics, Chichester, UK: Wiley.","DOI":"10.1002\/9780470977811"},{"issue":"8","key":"9275_CR7","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1093\/comjnl\/41.8.578","volume":"41","author":"C FRALEY","year":"1998","unstructured":"FRALEY, C., and RAFTERY, A.E. (1998), \u201cHow Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis\u201d, The Computer Journal, 41(8), 578\u2013588.","journal-title":"The Computer Journal"},{"key":"9275_CR8","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1198\/016214502760047131","volume":"97","author":"C FRALEY","year":"2002","unstructured":"FRALEY, C., and RAFTERY, A.E. (2002), \u201cModel-Based Clustering, Discriminant Analysis, and Density Estimation\u201d, Journal of the American Statistical Association, 97, 611\u2013631.","journal-title":"Journal of the American Statistical Association"},{"key":"9275_CR9","unstructured":"FRALEY, C., RAFTERY, A.E., MURPHY, T.B., and SCRUCCA, L. (2012), \u201cMclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation\u201d, Report No. 597, Department of Statistics, University of Washington."},{"key":"9275_CR10","doi-asserted-by":"crossref","unstructured":"GR\u00dcN, B., and LEISCH, F. (2008), \u201cFinite Mixtures of Generalized Linear Regression Models\u201d, in Recent Advances in Linear Models and Related Areas: Essays in Honour of Helge Toutenburg, Physica-Verlag.","DOI":"10.1007\/978-3-7908-2064-5_11"},{"issue":"3","key":"9275_CR11","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1561\/2000000034","volume":"4","author":"MR GUPTA","year":"2011","unstructured":"GUPTA, M.R., and YIHUA CHEN, Y. (2011), \u201cTheory and Use of the EM Algorithm\u201d, Foundations and Trends\u00ae in Signal Processing, 4(3), 223\u2013296.","journal-title":"Foundations and Trends\u00ae in Signal Processing"},{"key":"9275_CR12","unstructured":"HARTIGAN, J.A. (1975), Clustering Algorithms, Wiley."},{"key":"9275_CR13","doi-asserted-by":"publisher","first-page":"388","DOI":"10.1080\/01621459.1981.10477658","volume":"76","author":"JA HARTIGAN","year":"1981","unstructured":"HARTIGAN, J.A. (1981), \u201cConsistency of Single Linkage for High-Density Clusters\u201d, Journal of the American Statistical Association, 76, 388\u2013394.","journal-title":"Journal of the American Statistical Association"},{"key":"9275_CR14","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s11634-010-0058-3","volume":"4","author":"C HENNIG","year":"2010","unstructured":"HENNIG, C. (2010), \u201cMethods for Merging Gaussian Mixture Components\u201d, Advances in Data Analysis and Classification, 4, 3\u201334.","journal-title":"Advances in Data Analysis and Classification"},{"issue":"1","key":"9275_CR15","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/BF01908075","volume":"2","author":"L HUBERT","year":"1985","unstructured":"HUBERT, L., and ARABIE, P. (1985), \u201cComparing Partitions\u201d, Journal of Classification, 2(1), 193\u2013218.","journal-title":"Journal of Classification"},{"key":"9275_CR16","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1198\/016214503000189","volume":"98","author":"GM JAMES","year":"2003","unstructured":"JAMES, G.M., and SUGAR, C.A. (2003), \u201cClustering for Sparsely Sampled Functional Data\u201d, Journal of the American Statistical Association, 98, 565\u2013576.","journal-title":"Journal of the American Statistical Association"},{"key":"9275_CR17","first-page":"49","volume":"62","author":"C KERIBIN","year":"2000","unstructured":"KERIBIN, C. (2000), \u201cConsistent Estimation of the Order of Mixture Models\u201d, Sankhya, 62, 49\u201366.","journal-title":"Sankhya"},{"key":"9275_CR18","unstructured":"LAZARSFELD, P.F., and HENRY, N.W. (1968), Latent Structure Analysis, Houghton Mifflin."},{"key":"9275_CR19","unstructured":"MACQUEEN, J.B. (1967), \u201cSome Methods for Classification and Analysis of Multivariate Observations\u201d, in Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, University of California Press."},{"issue":"3","key":"9275_CR20","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1111\/j.1541-0420.2008.01160.x","volume":"65","author":"C MAUGIS","year":"2009","unstructured":"MAUGIS, C., CELEUX, G., and MARTIN-MAGNIETTE, M-L. (2009), \u201cVariable Selection for Clustering with Gaussian Mixture Models\u201d, Biometrics, 65(3), 701\u2013709.","journal-title":"Biometrics"},{"key":"9275_CR21","doi-asserted-by":"crossref","unstructured":"MCLACHLAN, G.J., and KRISHNAN, T. (2008), The EM Algorithm and Extensions, Wiley.","DOI":"10.1002\/9780470191613"},{"key":"9275_CR22","doi-asserted-by":"publisher","first-page":"1114","DOI":"10.1016\/j.jspi.2011.11.026","volume":"5","author":"PD MCNICHOLAS","year":"2012","unstructured":"MCNICHOLAS, P.D., and SUBEDI, S. (2012), \u201cThe EM Algorithm and Extensions\u201d, Journal of Statistical Planning and Inference, 5, 1114\u20131127.","journal-title":"Journal of Statistical Planning and Inference"},{"issue":"1","key":"9275_CR23","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1080\/10618600.2014.978007","volume":"24","author":"V MELNYKOV","year":"2016","unstructured":"MELNYKOV, V. (2016), \u201cMerging Mixture Components for Clustering Through Pairwise Overlap\u201d, Journal of Computational and Graphical Statistics, 24(1), 66\u201390.","journal-title":"Journal of Computational and Graphical Statistics"},{"key":"9275_CR24","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1214\/09-AOAS279","volume":"4","author":"TB MURPHY","year":"2010","unstructured":"MURPHY, T.B., DEAN, N., and RAFTERY, A.E. (2010), \u201cVariable Selection and Updating in Model-Based Discriminant Analysis for High Dimensional Data with Food Authenticity Applications\u201d, Annals of Applied Statistics, 4, 396\u2013421.","journal-title":"Annals of Applied Statistics"},{"issue":"2","key":"9275_CR25","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1111\/j.0006-341X.1999.00463.x","volume":"55","author":"B MUTH\u00c9N","year":"1999","unstructured":"MUTH\u00c9N, B., and SHEDDEN, K. (1999), \u201cFinite Mixture Modeling with Mixture Outcomes Using the EM Algorithm\u201d, Biometrics, 55(2), 463\u2013469.","journal-title":"Biometrics"},{"key":"9275_CR26","doi-asserted-by":"crossref","unstructured":"PEARSON, K. (1894), \u201cContribution to the Mathematical Theory of Evolution\u201d, Philosophical Transactions of the Royal Society of London, Series A, 71.","DOI":"10.1098\/rsta.1894.0003"},{"key":"9275_CR27","unstructured":"R CORE TEAM (2015), \u201cR: A Language and Environment for Statistical Computing\u201d, R Foundation for Statistical Computing, Vienna, Austria, \n                    https:\/\/www.R-project.org\/\n                    \n                  ."},{"key":"9275_CR28","doi-asserted-by":"crossref","unstructured":"RAFTERY, A.E. (1995), \u201cBayesian Model Selection in Social Research (With Discussion)\u201d, Sociological Methodology, 111\u2013196.","DOI":"10.2307\/271063"},{"issue":"473","key":"9275_CR29","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1198\/016214506000000113","volume":"101","author":"AE RAFTERY","year":"2006","unstructured":"RAFTERY, A.E, and DEAN, N. (2006), \u201cVariable Selection for Model-Based Clustering\u201d, Journal of the American Statistical Association, 101(473), 168\u2013178.","journal-title":"Journal of the American Statistical Association"},{"issue":"6","key":"9275_CR30","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1177\/0165025409343765","volume":"33","author":"N RAM","year":"2009","unstructured":"RAM, N., and GRIMM, K.J. (2009), \u201cMethods and Measures: Growth Mixture Modeling: A Method for Identifying Differences in Longitudinal Change Among Unobserved Groups\u201d, International Journal of Behavioral Development, 33(6), 565\u2013576.","journal-title":"International Journal of Behavioral Development"},{"key":"9275_CR31","first-page":"1","volume":"6","author":"D RUSAKOV","year":"2005","unstructured":"RUSAKOV, D., and GEIGER, D. (2005), \u201cAsymptotic Model Selection for Naive Bayesian Networks\u201d, Journal of Machine Learning Research, 6, 1\u201335.","journal-title":"Journal of Machine Learning Research"},{"issue":"2","key":"9275_CR32","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"6","author":"GE SCHWARZ","year":"1978","unstructured":"SCHWARZ, G.E. (1978), \u201cEstimating the Dimension of a Model\u201d, Annals of Statistics, 6(2), 461\u2013464.","journal-title":"Annals of Statistics"},{"key":"9275_CR33","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.csda.2015.01.006","volume":"93","author":"L SCRUCCA","year":"2016","unstructured":"SCRUCCA, L. (2016), \u201cIdentifying Connected Components in Gaussian Finite Mixture Models for Clustering\u201d, Computational Statistics and Data Analysis, 93, 5\u201317.","journal-title":"Computational Statistics and Data Analysis"},{"key":"9275_CR34","unstructured":"STEEL, R.G.D., and TORRIE, J.H. (1960), Principles and Procedures of Statistics with Special Reference to the Biological Sciences, McGraw Hill."},{"issue":"11","key":"9275_CR35","doi-asserted-by":"publisher","first-page":"1009","DOI":"10.1001\/archpsyc.1997.01830230043006","volume":"54","author":"ME THASE","year":"1997","unstructured":"THASE, M.E, GREENHOUSE, J.B., FRANK, E., REYNOLDS, C.F, PILKONIS, P.A., HURLEY, K., GROCHOCINSKI, V., and KUPFER, D.J. (1997), \u201cTreatment of Major Depression with Psychotherapy or Psychotherapy-Pharmacotherapy Combinations\u201d, Archives of General Psychiatry, 54(11), 1009\u20131015.","journal-title":"Archives of General Psychiatry"},{"key":"9275_CR36","volume-title":"Statistical Analysis of Finite Mixture Distributions","author":"DM TITTERINGTON","year":"1985","unstructured":"TITTERINGTON, D.M., SMITH, A.F.M., and MAKOV, U.E. (1985), Statistical Analysis of Finite Mixture Distributions (Vol 7), New York: Wiley New York."},{"issue":"301","key":"9275_CR37","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1080\/01621459.1963.10500845","volume":"58","author":"JH WARD","year":"1963","unstructured":"WARD, J.H. (1963), \u201cHierarchical Grouping to Optimize an Objective Function\u201d, Journal of the American Statistical Association, 58(301), 236\u2013244.","journal-title":"Journal of the American Statistical Association"},{"key":"9275_CR38","unstructured":"WISHART, D. (1969), \u201cMode Analysis: A Generalization of Nearest Neighbor Which Reduces Chaining Effects\u201d, in Numerical Taxonomy, ed. A.J. Cole, Academic Press, pp. 282-311."}],"container-title":["Journal of Classification"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00357-018-9275-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00357-018-9275-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00357-018-9275-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,29]],"date-time":"2019-10-29T00:24:58Z","timestamp":1572308698000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00357-018-9275-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,29]]},"references-count":38,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,4]]}},"alternative-id":["9275"],"URL":"https:\/\/doi.org\/10.1007\/s00357-018-9275-9","relation":{},"ISSN":["0176-4268","1432-1343"],"issn-type":[{"value":"0176-4268","type":"print"},{"value":"1432-1343","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10,29]]},"assertion":[{"value":"29 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}