{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T06:03:02Z","timestamp":1772172182190,"version":"3.50.1"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2012,8,23]],"date-time":"2012-08-23T00:00:00Z","timestamp":1345680000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Classif"],"published-print":{"date-parts":[[2012,10]]},"DOI":"10.1007\/s00357-012-9114-3","type":"journal-article","created":{"date-parts":[[2012,8,22]],"date-time":"2012-08-22T02:32:36Z","timestamp":1345602756000},"page":"363-401","source":"Crossref","is-referenced-by-count":98,"title":["Local Statistical Modeling via a Cluster-Weighted Approach with Elliptical Distributions"],"prefix":"10.1007","volume":"29","author":[{"given":"Salvatore","family":"Ingrassia","sequence":"first","affiliation":[]},{"given":"Simona C.","family":"Minotti","sequence":"additional","affiliation":[]},{"given":"Giorgio","family":"Vittadini","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,8,23]]},"reference":[{"key":"9114_CR1","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1093\/biomet\/59.1.19","volume":"59","author":"JA ANDERSON","year":"1972","unstructured":"ANDERSON, J.A. (1972), \u201cSeparate Sample Logistic Discrimination\u201d, Biometrika, 59, 19\u201335.","journal-title":"Biometrika"},{"key":"9114_CR2","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1509\/jmkr.39.1.87.18936","volume":"39","author":"RL ANDREWS","year":"2002","unstructured":"ANDREWS, R.L., ANSARI, A., and CURRIM, I.S. (2002), \u201cHierarchical Bayes Versus Finite Mixture Conjoint Analysis Models: A Comparison of Fit, Prediction, and Partworth Recovery\u201d, Journal of Marketing, 39, 87\u201398.","journal-title":"Journal of Marketing"},{"issue":"3","key":"9114_CR3","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1007\/s11222-010-9175-2","volume":"21","author":"JL ANDREWS","year":"2011","unstructured":"ANDREWS, J.L., and McNICHOLAS, P.D. (2011), \u201cExtending Mixtures of Multivariate T-Factor Analyzers\u201d, Statistics and Computing 21(3), 361\u2013373.","journal-title":"Statistics and Computing"},{"key":"9114_CR4","doi-asserted-by":"crossref","first-page":"1269","DOI":"10.1093\/bioinformatics\/btr112","volume":"27","author":"J Baek","year":"2011","unstructured":"BAEK, J., and McLACHLAN, G.J. (2011), \u201cMixtures of Common T-Factor Analyzers for Clustering High-Dimensional Microarray Data\u201d, Bioinformatics, 27, 1269\u20131276.","journal-title":"Bioinformatics"},{"key":"9114_CR5","first-page":"61","volume-title":"Bayesian Statistics 5","author":"JM BERNARDO","year":"1992","unstructured":"BERNARDO, J.M., and GIR\u00d3N, F.J. (1992), \u201cRobust Sequential Prediction from Non- Random Samples: The Election Night Forecasting Case\u201d in Bayesian Statistics 5, eds. J.M. Bernardo, J.O. Berger, A.P. Dawid, and A.F.M. Smith, Oxford: Oxford University Press, pp. 61\u201377."},{"key":"9114_CR6","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1071\/ZO9740417","volume":"22","author":"NA CAMPBELL","year":"1974","unstructured":"CAMPBELL, N.A., and MAHON, R.J. (1974), \u201cA Multivariate Study of Variation in Two Species of Rock Crab of Genus Letpograspus\u201d, Australian Journal of Zoology, 22, 417\u2013455.","journal-title":"Australian Journal of Zoology"},{"issue":"489","key":"9114_CR7","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1198\/jasa.2009.tm09147","volume":"105","author":"A Cerioli","year":"2010","unstructured":"CERIOLI, A. (2010), \u201cMultivariate Outlier Detection with High-Breakdown Estimators\u201d, Journal of the American Statistical Society, 105(489), 147\u2013156.","journal-title":"Journal of the American Statistical Society"},{"issue":"5","key":"9114_CR8","doi-asserted-by":"crossref","first-page":"2284","DOI":"10.1214\/07-AOS541","volume":"36","author":"JA CUESTA-ALBERTOS","year":"2008","unstructured":"CUESTA-ALBERTOS, J.A., MATR\u00c1N, C., and MAYO-ISCAR, A. (2008), \u201cTrimming and Likelihood: Robust Location and Dispersion Estimation in the Elliptical Model\u201d, The Annals of Statistics, 36(5), 2284\u20132318.","journal-title":"The Annals of Statistics"},{"key":"9114_CR9","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1080\/01621459.1988.10478584","volume":"83","author":"CM DAYTON","year":"1988","unstructured":"DAYTON, C.M., and MACREADY, G.B. (1988), \u201cConcomitant-Variable Latent-Class Models\u201d, Journal of the American Statistical Association, 83, 173\u2013178.","journal-title":"Journal of the American Statistical Association"},{"issue":"2","key":"9114_CR10","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/BF01897167","volume":"5","author":"WS DESARBO","year":"1988","unstructured":"DESARBO, W.S., and CRON, W.L. (1988), \u201cA Maximum Likelihood Methodology for Cluster wise Linear Regression\u201d, Journal of Classification, 5(2), 249\u2013282.","journal-title":"Journal of Classification"},{"key":"9114_CR11","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1214\/aoms\/1177698967","volume":"38","author":"JT DICKEY","year":"1967","unstructured":"DICKEY, J.T. (1967), \u201cMatricvariate Generalizations of the Multivariate t Distribution and the Inverted Multivariate t Distribution\u201d, The Annals of Mathematical Statistics, 38, 511\u2013518.","journal-title":"The Annals of Mathematical Statistics"},{"key":"9114_CR12","doi-asserted-by":"crossref","DOI":"10.1007\/978-94-009-5897-5","volume-title":"Finite Mixture Distributions","author":"BS EVERITT","year":"1981","unstructured":"EVERITT, B.S., and HAND, D.J. (1981), Finite Mixture Distributions, London: Chapman & Hall."},{"key":"9114_CR13","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1080\/00949650802590261","volume":"80","author":"S Faria","year":"2010","unstructured":"FARIA, S., and SOROMENHO, G. (2010), \u201cFitting Mixtures of Linear Regressions, Journal of Statistical Computation and Simulation, 80, 201\u2013225.","journal-title":"Journal of Statistical Computation and Simulation"},{"key":"9114_CR14","doi-asserted-by":"crossref","unstructured":"FONSECA, J.R.S. (2008), \u201cMixture Modeling and Information Criteria for Discovering Patterns in Continuous Data\u201d, Eighth International Conference on Hybrid Intelligent Systems, IEEE Computer Society.","DOI":"10.1109\/HIS.2008.32"},{"key":"9114_CR15","volume-title":"Finite Mixture and Markov Switching Models","author":"S Fr\u00fcwirth-Schnatter","year":"2005","unstructured":"FR\u00dcWIRTH-SCHNATTER, S. (2005), Finite Mixture and Markov Switching Models, Heidelberg: Springer."},{"key":"9114_CR16","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1007\/s11634-009-0044-9","volume":"3","author":"MT GALLEGOS","year":"2009","unstructured":"GALLEGOS, M.T., and RITTER, G. (2009a), \u201cTrimming- Algorithms for Clustering Contaminated Grouped Data and Their Robustness\u201d, Advances in Data Analysis and Classification, 3, 135-167.","journal-title":"Advances in Data Analysis and Classification"},{"key":"9114_CR17","first-page":"164","volume":"2","author":"MT GALLEGOS","year":"2009","unstructured":"GALLEGOS, M.T., and RITTER, G. (2009b), \u201cTrimmed ML Estimation of Contaminated Mixtures\u201d, Sankhya, 71-A, Part 2, 164\u2013220.","journal-title":"Sankhya, 71-A, Part"},{"key":"9114_CR18","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1111\/j.1749-6632.1997.tb51651.x","volume":"808","author":"N Gershenfeld","year":"1997","unstructured":"GERSHENFELD, N. (1997), \u201cNon Linear Inference and Cluster-Weighted Modeling\u201d, Annals of the New York Academy of Sciences, 808, 18-24.","journal-title":"Annals of the New York Academy of Sciences"},{"key":"9114_CR19","first-page":"101","volume-title":"The Nature of Mathematical Modelling","author":"N Gershenfeld","year":"1999","unstructured":"GERSHENFELD, N. (1999), The Nature of Mathematical Modelling, Cambridge: Cambridge University Press, pp. 101\u2013130."},{"key":"9114_CR20","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1038\/16873","volume":"397","author":"N Gershenfeld","year":"1999","unstructured":"GERSHENFELD, N., SCH\u00d6NER, B., and METOIS, E. (1999), \u201cCluster-Weighted Modelling for Time-Series Analysis\u201d, Nature, 397, 329-332.","journal-title":"Nature"},{"key":"9114_CR21","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1007\/s11222-008-9112-9","volume":"20","author":"F Greselin","year":"2010","unstructured":"GRESELIN, F., and INGRASSIA, S. (2010), \u201cConstrained Monotone EM Algorithms of Multivariate t distributions\u201d, Statistics & Computing, 20, 9\u201322.","journal-title":"Statistics & Computing"},{"key":"9114_CR22","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1007\/s10260-004-0092-4","volume":"13","author":"S Ingrassia","year":"2004","unstructured":"INGRASSIA, S. (2004), \u201cA Likelihood-Based Constrained Algorithm for Multivariate Normal Mixture Models\u201d, Statistical Methods & Applications, 13, 151\u2013166.","journal-title":"Statistical Methods & Applications"},{"key":"9114_CR23","doi-asserted-by":"crossref","first-page":"5339","DOI":"10.1016\/j.csda.2006.10.011","volume":"51","author":"S Ingrassia","year":"2007","unstructured":"INGRASSIA, S., and ROCCI, R. (2007), \u201cConstrained Monotone EM Algorithms for Finite Mixture of Multivariate Gaussians\u201d, Computational Statistics & Data Analysis, 51, 5339\u20135351.","journal-title":"Computational Statistics & Data Analysis"},{"key":"9114_CR24","doi-asserted-by":"crossref","first-page":"227","DOI":"10.2307\/2532616","volume":"49","author":"RC JANSEN","year":"1993","unstructured":"JANSEN, R.C. (1993), \u201cMaximum Likelihood in a Generalized Linear Finite Mixture Model by Using the EM Algorithm\u201d, Biometrics, 49, 227\u2013231.","journal-title":"Biometrics"},{"key":"9114_CR25","unstructured":"JORDAN, M.I. (1995), \u201cWhy the Logistic Function? A Tutorial Discussion on Probabilities and Neural Networks\u201d, MIT Computational Cognitive Science Report 9503."},{"key":"9114_CR26","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1162\/neco.1994.6.2.181","volume":"6","author":"MI JORDAN","year":"1994","unstructured":"JORDAN, M.I., and JACOBS, R.A. (1994), \u201cHierarchical Mixtures of Experts and the EM Algorithm\u201d, Neural Computation, 6, 181\u2013224.","journal-title":"Neural Computation"},{"key":"9114_CR27","unstructured":"KAN, R., and ZHOU, G. (2006), \u201cModelling Non-Normality Using Multivariate t: Implications for Asset Pricing\u201d, Working paper, Washington University, St. Louis."},{"issue":"408","key":"9114_CR28","first-page":"881","volume":"84","author":"KL LANGE","year":"1989","unstructured":"LANGE, K.L., LITTLE, R.J.A., and TAYLOR, J.M.G. (1989), \u201cRobust StatisticalModeling Using the t Distribution\u201d, Journal of the American Statistical Society, 84(408), 881\u2013896.","journal-title":"Journal of the American Statistical Society"},{"issue":"8","key":"9114_CR29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v011.i08","volume":"11","author":"F Leisch","year":"2004","unstructured":"LEISCH, F. (2004), \u201cFlexmix: A General Framework for Finite Mixture Models and Latent Class Regression in R\u201d, Journal of Statistical Software, 11(8), 1\u201318.","journal-title":"Journal of Statistical Software"},{"key":"9114_CR30","first-page":"19","volume":"5","author":"C Liu","year":"1995","unstructured":"LIU, C., and RUBIN, D.M. (1995), \u201cML Estimation of the t Distribution using EM and its Extensions, ECM and ECME\u201d, Statistica Sinica, 5, 19\u201339.","journal-title":"Statistica Sinica"},{"key":"9114_CR31","volume-title":"Multivariate Analysis","author":"KV MARDIA","year":"1979","unstructured":"MARDIA, K.V., KENT, J.T., and BIBBY, J.M. (1979), Multivariate Analysis, London: Academic Press."},{"key":"9114_CR32","volume-title":"Mixture Models: Inference and Applications to Clustering","author":"GJ McLACHLAN","year":"1988","unstructured":"McLACHLAN, G.J., and BASFORD, K.E. (1988), Mixture Models: Inference and Applications to Clustering, New York: Marcel Dekker."},{"key":"9114_CR33","first-page":"658","volume-title":"Lecture Notes in Computer Science","author":"GJ McLACHLAN","year":"1998","unstructured":"McLACHLAN, G.J., and PEEL, D. (1998), \u201cRobust Cluster Analysis via Mixtures of Multivariate t-distributions\u201d\u2019 in Lecture Notes in Computer Science, Vol. 1451, eds. A. Amin, D. Dori, P. Pudil, and H. Freeman, Berlin: Springer-Verlag, pp. 658\u2013666."},{"key":"9114_CR34","doi-asserted-by":"crossref","DOI":"10.1002\/0471721182","volume-title":"Finite Mixture Models","author":"GJ McLACHLAN","year":"2000","unstructured":"McLACHLAN, G.J., and PEEL, D. (2000), Finite Mixture Models, New York: Wiley."},{"key":"9114_CR35","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1007\/s10440-005-9003-4","volume":"89","author":"S Nadarajah","year":"2005","unstructured":"NADARAJAH, S., and KOTZ, S. (2005), \u201cMathematical Properties of the Multivariate t Distributions\u201d, Acta Applicandae Mathematicae, 89, 53\u201384.","journal-title":"Acta Applicandae Mathematicae"},{"key":"9114_CR36","doi-asserted-by":"crossref","first-page":"343","DOI":"10.2307\/2369392","volume":"8","author":"S Newcomb","year":"1886","unstructured":"NEWCOMB, S. (1886), \u201cA Generalized Theory of the Combination of Observations so as to Obtain the Best Result\u201d, American Journal of Mathematics, 8, 343\u2013366.","journal-title":"American Journal of Mathematics"},{"key":"9114_CR37","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.artmed.2007.06.001","volume":"41","author":"SK NG","year":"2007","unstructured":"NG, S.K., and McLACHLAN, G.J. (2007), \u201cExtension of Mixture-of-Experts Networks for Binary Classification of Hierarchical Data\u201d, Artificial Intelligence in Medicine, 41, 57\u201367.","journal-title":"Artificial Intelligence in Medicine"},{"key":"9114_CR38","first-page":"355","volume-title":"Machine Learning Research Progress","author":"SK NG","year":"2008","unstructured":"NG, S.K., and McLACHLAN, G.J. (2008), \u201cExpert Networks with Mixed Continuous and Categorical Feature Variables: A Location Modeling Approach, in: Machine Learning Research Progress, eds. H. Peters and M. Vogel, New York: Hauppauge, pp. 355\u2013368."},{"issue":"3","key":"9114_CR39","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1093\/oxfordjournals.aje.a115365","volume":"130","author":"DW NIERENBERG","year":"1989","unstructured":"NIERENBERG, D.W., STUKEL, T.A., BARON, J., DAIN, B.J., and GREENBERG, R. (1989), \u201cDeterminants of Plasma Levels of Beta-carotene and Retinol\u201d, American Journal of Epidemiology, 130(3), 511\u2013521.","journal-title":"American Journal of Epidemiology"},{"key":"9114_CR40","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1098\/rsta.1894.0003","volume":"185","author":"K Pearson","year":"1894","unstructured":"PEARSON, K. (1894), \u201cContributions to the Mathematical Theory of Evolution\u201d, Philosophical Transactions of the Royal Society of London A, 185, 71\u2013110.","journal-title":"Philosophical Transactions of the Royal Society of London A"},{"key":"9114_CR41","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1023\/A:1008981510081","volume":"10","author":"D Peel","year":"2000","unstructured":"PEEL, D., and McLACHLAN, G.J. (2000), \u201cRobust Mixture Modelling Using the t Distribution\u201d, Statistics & Computing, 10, 339\u2013348.","journal-title":"Statistics & Computing"},{"key":"9114_CR42","doi-asserted-by":"crossref","first-page":"953","DOI":"10.1080\/01621459.1996.10476965","volume":"91","author":"F Peng","year":"1996","unstructured":"PENG, F., JACOBS, R.A., and TANNER, M.A. (1996), \u201cBayesian Inference in Mixtures of- Experts and Hierarchical Mixtures-of-Experts Models with an Application to Speech Recognition\u201d, Journal of the American Statistical Association, 91, 953\u2013960.","journal-title":"Journal of the American Statistical Association"},{"key":"9114_CR43","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1198\/10618600152628059","volume":"10","author":"JC PINHEIRO","year":"2001","unstructured":"PINHEIRO, J.C., LIU, C., and WU, Y.N. (2001), \u201cEfficient Algorithms for Robust Estimation in Linear Mixed-Effects Models Using the Multivariate t Distribution\u201d, Journal of Computational and Graphical Statistics, 10, 249\u2013276.","journal-title":"Journal of Computational and Graphical Statistics"},{"key":"9114_CR44","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1080\/01621459.1972.10482378","volume":"67","author":"RE QUANDT","year":"1972","unstructured":"QUANDT, R.E. (1972), \u201cA New Approach to Estimating Switching Regressions\u201d, Journal of the American Statistical Society, 67, 306\u2013310.","journal-title":"Journal of the American Statistical Society"},{"key":"9114_CR45","first-page":"271","volume-title":"Mining Massive Data Sets for Security","author":"M RIANI","year":"2008","unstructured":"RIANI,M., CERIOLI, A., ATKINSON, A.C., PERROTTA, D., and TORTI, F. (2008), \u201cFitting Mixtures of Regression Lines with the Forward Search\u201d, in Mining Massive Data Sets for Security, eds. F. Fogelman-Souli\u00e9, D. Perrotta, J. Piskorki and R. Steinberg, Amsterdam: IOS Press, pp. 271\u2013286."},{"issue":"2","key":"9114_CR46","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1111\/j.1467-9868.2008.00692.x","volume":"71","author":"M Riani","year":"2009","unstructured":"RIANI, M., ATKINSON, A.C., and CERIOLI, A. (2009), \u201cFinding an Unknown Number of Multivariate Outliers\u201d, Journal of the Royal Statistical Society B, 71(2), 447\u2013466.","journal-title":"Journal of the Royal Statistical Society B"},{"key":"9114_CR47","volume-title":"Medical Applications of Finite Mixture Models","author":"P Schlattmann","year":"2009","unstructured":"SCHLATTMANN, P. (2009), Medical Applications of Finite Mixture Models, Berlin-Heidelberg: Springer-Verlag."},{"key":"9114_CR48","unstructured":"SCH\u00d6NER, B. (2000), Probabilistic Characterization and Synthesis of Complex Data Driven Systems, Ph.D. Thesis, MIT."},{"key":"9114_CR49","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1007\/978-1-4612-0177-9_15","volume-title":"Nonlinear Dynamics and Statistics","author":"B SCH\u00d6NER","year":"2001","unstructured":"SCH\u00d6NER, B., and GERSHENFELD, N. (2001), \u201cCluster Weighted Modeling: Probabilistic Time Series Prediction, Characterization, and Synthesis\u201d in Nonlinear Dynamics and Statistics, ed. A.I. Mees, Boston: Birkhauser, pp. 365\u2013385."},{"key":"9114_CR50","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, New York: Wiley."},{"key":"9114_CR51","doi-asserted-by":"crossref","first-page":"381","DOI":"10.2307\/2532881","volume":"52","author":"P Wang","year":"1996","unstructured":"WANG, P., PUTERMAN, M.L., COCKBURN, I., and LE, N. (1996), \u201cMixed Poisson Regression Models with Covariate Dependent Rates\u201d, Biometrics, 52, 381\u2013400.","journal-title":"Biometrics"},{"issue":"3","key":"9114_CR52","doi-asserted-by":"crossref","first-page":"362","DOI":"10.1111\/1467-9574.t01-1-00072","volume":"56","author":"M Wedel","year":"2002","unstructured":"WEDEL, M. (2002), \u201cConcomitant Variables in Finite Mixture Models\u201d, Statistica Nederlandica, 56(3), 362\u2013375.","journal-title":"Statistica Nederlandica"},{"key":"9114_CR53","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/BF01202266","volume":"12","author":"M Wedel","year":"1995","unstructured":"WEDEL, M., and DESARBO, W. (1995), \u201cA Mixture Likelihood Approach for Generalized Linear Models\u201d, Journal of Classification, 12, 21\u201355.","journal-title":"Journal of Classification"},{"key":"9114_CR54","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1023\/A:1015059024154","volume":"13","author":"M Wedel","year":"2002","unstructured":"WEDEL, M., and DESARBO, W. (2002), \u201cMarket Segment Derivation and Profiling via a Finite Mixture Model Framework\u201d, Marketing Letters, 13, 17\u201325.","journal-title":"Marketing Letters"},{"key":"9114_CR55","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-4651-1","volume-title":"Market Segmentation","author":"M Wedel","year":"2000","unstructured":"WEDEL, M., and KAMAMURA, W.A. (2000), Market Segmentation. Conceptual and Methodological Foundations, Boston: Kluwer Academic Publishers."},{"key":"9114_CR56","first-page":"400","volume":"71","author":"A Zellner","year":"1976","unstructured":"ZELLNER, A. (1976), \u201cBayesian and Non-Bayesian Analysis of the RegressionModel with Multivariate Student-t Error Terms\u201d, Journal of the American Statistical Society, 71, 400\u2013405.","journal-title":"Journal of the American Statistical Society"}],"updated-by":[{"DOI":"10.1007\/s00357-015-9190-2","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2015,10,21]],"date-time":"2015-10-21T00:00:00Z","timestamp":1445385600000}}],"container-title":["Journal of Classification"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00357-012-9114-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00357-012-9114-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00357-012-9114-3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,3]],"date-time":"2019-07-03T01:23:49Z","timestamp":1562117029000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00357-012-9114-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,8,23]]},"references-count":56,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2012,10]]}},"alternative-id":["9114"],"URL":"https:\/\/doi.org\/10.1007\/s00357-012-9114-3","relation":{"correction":[{"id-type":"doi","id":"10.1007\/s00357-015-9190-2","asserted-by":"object"}]},"ISSN":["0176-4268","1432-1343"],"issn-type":[{"value":"0176-4268","type":"print"},{"value":"1432-1343","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,8,23]]}}}