{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T00:32:34Z","timestamp":1720053154927},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2012,1,17]],"date-time":"2012-01-17T00:00:00Z","timestamp":1326758400000},"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":[[2012,4]]},"DOI":"10.1007\/s00357-012-9100-9","type":"journal-article","created":{"date-parts":[[2012,1,16]],"date-time":"2012-01-16T14:44:01Z","timestamp":1326725041000},"page":"23-49","source":"Crossref","is-referenced-by-count":3,"title":["A Criterion Based on the Mahalanobis Distance for Cluster Analysis with Subsampling"],"prefix":"10.1007","volume":"29","author":[{"given":"Nicolas","family":"Picard","sequence":"first","affiliation":[]},{"given":"Avner","family":"Bar-Hen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,1,17]]},"reference":[{"key":"9100_CR1","volume-title":"Handbook of Mathematical Functions (with Formulas, Graphs, and Mathematical Tables)","author":"M Abramowitz","year":"1964","unstructured":"ABRAMOWITZ, M., and STEGUN, I.A. (1964), Handbook of Mathematical Functions (with Formulas, Graphs, and Mathematical Tables), Washington, DC: US Government Printing Office."},{"key":"9100_CR2","doi-asserted-by":"crossref","first-page":"803","DOI":"10.2307\/2532201","volume":"49","author":"JD Banfield","year":"1993","unstructured":"BANFIELD, J.D., and RAFTERY, A.E. (1993), \u201cModel-Based Gaussian and Non-Gaussian Clustering\u201d, Biometrics, 49, 803\u2013821.","journal-title":"Biometrics"},{"key":"9100_CR3","first-page":"140","volume-title":"International Conference on Knowledge Discovery and Data Mining. Proceedings of the Sixth ACM Special Interest Group on Knowledge Discovery in Data International Conference on Knowledge Discovery and Data Mining","author":"IV Cadez","year":"2000","unstructured":"CADEZ, I.V., GAFFNEY, S., and SMYTH, P. (2000), \u201cA General Probabilistic Framework for Clustering Individuals and Objects\u201d, in International Conference on Knowledge Discovery and Data Mining. Proceedings of the Sixth ACM Special Interest Group on Knowledge Discovery in Data International Conference on Knowledge Discovery and Data Mining, Boston, Massachusetts: ACM, pp. 140\u2013149."},{"key":"9100_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/03610927408827101","volume":"3","author":"RB Calin\u0301ski","year":"1974","unstructured":"CALIN\u0301SKI, R.B., and HARABASZ, J. (1974), \u201cA Dendrite Method for Cluster Analysis\u201d, Communications in Statistics, 3, 1\u201327.","journal-title":"Communications in Statistics"},{"key":"9100_CR5","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/0167-9473(92)90042-E","volume":"14","author":"G Celeux","year":"1992","unstructured":"CELEUX, G., and GOVAERT, G. (1992), \u201cA Classification EM Algorithm for Clustering and Two Stochastic Versions\u201d, Computational Statistics and Data Analysis, 14, 315\u2013332.","journal-title":"Computational Statistics and Data Analysis"},{"key":"9100_CR6","first-page":"91","volume-title":"Handbook of Emotions","author":"L Cosmides","year":"2000","unstructured":"COSMIDES, L., and TOOBY, J. (2000), \u201cEvolutionary Psychology and the Emotions\u201d, in Handbook of Emotions, eds. M. Lewis and J.M. Haviland-Jones, New York, NY: Guilford, pp. 91\u2013115."},{"key":"9100_CR7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2307\/3315546","volume":"23","author":"A Cuevas","year":"1995","unstructured":"CUEVAS, A., and ROMO, J. (1995), \u201cOn the Estimation of the Influence Curve\u201d, Canadian Journal of Statistics, 23, 1\u20139.","journal-title":"Canadian Journal of Statistics"},{"key":"9100_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"AP Dempster","year":"1977","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, 39, 1\u201338.","journal-title":"Journal of the Royal Statistical Society, Series B"},{"key":"9100_CR9","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 Clusterwise Linear Regression\u201d, Journal of Classification, 5, 249\u2013282.","journal-title":"Journal of Classification"},{"key":"9100_CR10","volume-title":"Cluster Analysis","author":"BS Everitt","year":"1974","unstructured":"EVERITT, B.S. (1974), Cluster Analysis, London: Heinemann Educ. Books."},{"key":"9100_CR11","first-page":"7","volume-title":"Encyclopedia of Biostatistics","author":"BS Everitt","year":"1998","unstructured":"EVERITT, B.S. (1998), \u201cCluster Analysis of Subjects, Nonhierarchical Methods\u201d, in Encyclopedia of Biostatistics, eds. P. Armitage and T. Colton, Chichester: John Wiley & Sons, p. 7."},{"key":"9100_CR12","doi-asserted-by":"crossref","first-page":"379","DOI":"10.3406\/revec.1994.2149","volume":"49","author":"V Favrichon","year":"1994","unstructured":"FAVRICHON, V. (1994), \u201cClassification des Esp\u00e8ces Arbor\u00e9es en Groupes Fonctionnels en Vue de laR\u00e9alisation d\u2019unMod\u00e8le de Dynamique de Peuplement en For\u00eat Guyanaise\u201d, Revue d\u2019\u00c9cologie (Terre et Vie), 49, 379\u2013403.","journal-title":"Revue d\u2019\u00c9cologie (Terre et Vie)"},{"key":"9100_CR13","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1198\/016214502760047131","volume":"97","author":"C Fraley","year":"2002","unstructured":"FRALEY, C., and RAFTERY, A. (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":"9100_CR14","doi-asserted-by":"crossref","first-page":"1159","DOI":"10.2307\/2283767","volume":"62","author":"HP Friedman","year":"1967","unstructured":"FRIEDMAN, H.P., and RUBIN, J. (1967), \u201cOn Some Invariant Criteria for Grouping Data\u201d, Journal of the American Statistical Association, 62, 1159\u20131178.","journal-title":"Journal of the American Statistical Association"},{"key":"9100_CR15","first-page":"153","volume":"44","author":"TC Gard","year":"1988","unstructured":"GARD, T.C. (1988), \u201cAggregation in Stochastic EcosystemModels\u201d, EcologicalModelling, 44, 153\u2013164.","journal-title":"EcologicalModelling"},{"key":"9100_CR16","volume-title":"Ecology and Management of a Neotropical Rainforest. Lessons Drawn from Paracou, a Long-Term Experimental Research Site in French Guiana","year":"2004","unstructured":"GOURLET-FLEURY, S., GUEHL, J.M., and LAROUSSINIE, O. (eds.) (2004), Ecology and Management of a Neotropical Rainforest. Lessons Drawn from Paracou, a Long-Term Experimental Research Site in French Guiana, Paris: Elsevier."},{"key":"9100_CR17","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1007\/s00357-008-9022-8","volume":"25","author":"N Gr\u00fcn","year":"2008","unstructured":"GR\u00dcN, B., and LEISCH, F. (2008), \u201cIdentifiability of FiniteMixtures of Multinomial Logit Models with Varying and Fixed Effects\u201d, Journal of Classification, 25, 225\u2013247.","journal-title":"Journal of Classification"},{"key":"9100_CR18","doi-asserted-by":"crossref","first-page":"383","DOI":"10.2307\/2285666","volume":"69","author":"FR Hampel","year":"1974","unstructured":"HAMPEL, F.R. (1974), \u201cThe Influence Curve and its Role in Robust Estimation\u201d, Journal of the American Statistical Association, 69, 383\u2013393.","journal-title":"Journal of the American Statistical Association"},{"key":"9100_CR19","doi-asserted-by":"crossref","first-page":"100","DOI":"10.2307\/2346830","volume":"28","author":"JA Hartigan","year":"1979","unstructured":"HARTIGAN, J.A., and WONG, M.A. (1979), \u201cA K-means Clustering Algorithm\u201d, Applied Statistics, 28, 100\u2013108.","journal-title":"Applied Statistics"},{"key":"9100_CR20","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1111\/1467-9868.00266","volume":"62","author":"TP Hettmansperger","year":"2000","unstructured":"HETTMANSPERGER, T.P., and THOMAS, H. (2000), \u201cAlmost Nonparametric Inference for Repeated Measures in Mixture Models\u201d, Journal of the Royal Statistical Society, Series B, 62, 811\u2013825.","journal-title":"Journal of the Royal Statistical Society, Series B"},{"key":"9100_CR21","volume-title":"The New Palgrave Dictionary of Economics","author":"W Hildenbrand","year":"2008","unstructured":"HILDENBRAND, W. (2008), \u201cAggregation Theory\u201d, in The New Palgrave Dictionary of Economics, eds. S.N.Durlauf and L.E. Blume, Basingstoke, UK: PalgraveMacmillan."},{"key":"9100_CR22","doi-asserted-by":"crossref","first-page":"361","DOI":"10.2307\/2684934","volume":"50","author":"RJ Hyndman","year":"1996","unstructured":"HYNDMAN, R.J., and FAN, Y. (1996), \u201cSample Quantiles in Statistical Packages\u201d, American Statistician, 50, 361\u2013365.","journal-title":"American Statistician"},{"key":"9100_CR23","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/0304-3800(87)90030-5","volume":"37","author":"Y Iwasa","year":"1987","unstructured":"IWASA, Y., ANDREASEN, V., and LEVIN, S.A. (1987), \u201cAggregation in Model Ecosystems: I. Perfect Aggregation\u201d, Ecological Modelling, 37, 287\u2013302.","journal-title":"Ecological Modelling"},{"key":"9100_CR24","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1007\/BF01009452","volume":"34","author":"S Kirkpatrick","year":"1984","unstructured":"KIRKPATRICK, S. (1984), \u201cOptimization by Simulated Annealing: Quantitative Studies\u201d, Journal of Statistical Physics, 34, 975\u2013986.","journal-title":"Journal of Statistical Physics"},{"key":"9100_CR25","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, 1\u201318.","journal-title":"Journal of Statistical Software"},{"key":"9100_CR26","doi-asserted-by":"crossref","DOI":"10.1002\/0471721182","volume-title":"Finite Mixture Models","author":"G McLachlan","year":"2000","unstructured":"MCLACHLAN, G., and PEEL, D. (2000), Finite Mixture Models, New York: John Wiley & Sons."},{"key":"9100_CR27","first-page":"199","volume-title":"Handbook of Statistics (Vol. 2)","author":"GJ Mclachlan","year":"1982","unstructured":"MCLACHLAN, G.J. (1982), \u201cThe Classification and Mixture Maximum Likelihood Approaches to Cluster Analysis\u201d, in Handbook of Statistics (Vol. 2), eds. P.R. Krishnaiah and L.N. Kanal, Amsterdam, The Netherlands: Elsevier Science, pp. 199\u2013208."},{"key":"9100_CR28","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":"9100_CR29","doi-asserted-by":"crossref","first-page":"1745","DOI":"10.1093\/bioinformatics\/btl165","volume":"22","author":"SK Ng","year":"2006","unstructured":"NG, S.K., MCLACHLAN, G.J., WANG, K., BEN-TOVIM, L., and NG, S.W. (2006), \u201cA Mixture Model with Random-Effects Components for Clustering Correlated Gene-Expression Profiles\u201d, Bioinformatics, 22, 1745\u20131752.","journal-title":"Bioinformatics"},{"key":"9100_CR30","first-page":"348","volume-title":"Handbook of Statistical Genetics (Vol. 3)","author":"D Penny","year":"2003","unstructured":"PENNY, D., and HENDY, M. (2003), \u201cPhylogenetics: Parsimony and Distance Methods\u201d, in Handbook of Statistical Genetics (Vol. 3), eds. D.J. Balding, M. Bishop, and C. Cannings, Chichester, England: John Wiley & Sons, pp. 348\u2013388."},{"key":"9100_CR31","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.ecolmodel.2009.10.013","volume":"221","author":"N Picard","year":"2010","unstructured":"PICARD, N., MORTIER, F., ROSSI, V., and GOURLET-FLEURY, S. (2010), \u201cClustering Species Using a Model of Population Dynamics and Aggregation Theory\u201d, Ecological Modelling, 221, 152\u2013160.","journal-title":"Ecological Modelling"},{"key":"9100_CR32","volume-title":"Numerical Recipes in C: The Art of Scientific Computing","author":"WH Press","year":"1992","unstructured":"PRESS, W.H., TEUKOLSKY, S.A., VETTERLING, W.T., and FLANNERY, B.P. (1992), Numerical Recipes in C: The Art of Scientific Computing(2nd ed.), Cambridge: Cambridge University Press.","edition":"2"},{"key":"9100_CR33","volume-title":"Advanced Statistical Methods in Biomatrics Research","author":"CR Rao","year":"1952","unstructured":"RAO, C.R. (1952), Advanced Statistical Methods in Biomatrics Research, New York: Wiley."},{"key":"9100_CR34","doi-asserted-by":"crossref","first-page":"387","DOI":"10.2307\/2529003","volume":"27","author":"AJ Scott","year":"1971","unstructured":"SCOTT, A.J., and SYMONS, M.J. (1971), \u201cClustering Methods Based on Likelihood Ratio Criteria\u201d, Biometrics, 27, 387\u2013397.","journal-title":"Biometrics"},{"key":"9100_CR35","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4899-3324-9","volume-title":"Density Estimation","author":"BW Silverman","year":"1986","unstructured":"SILVERMAN, B.W. (1986), Density Estimation, London, UK: Chapman and Hall."},{"key":"9100_CR36","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1002\/1097-0258(20010215)20:3<417::AID-SIM802>3.0.CO;2-G","volume":"20","author":"OC Ukoumunne","year":"2001","unstructured":"UKOUMUNNE, O.C., and THOMPSON, S.G. (2001), \u201cAnalysis of Cluster Randomized Trials with Repeated Cross-Sectional Binary Measurements\u201d, Statistics in Medicine, 20, 417\u2013433.","journal-title":"Statistics in Medicine"},{"key":"9100_CR37","doi-asserted-by":"crossref","first-page":"236","DOI":"10.2307\/2282967","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, 236\u2013244.","journal-title":"Journal of the American Statistical Association"}],"container-title":["Journal of Classification"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00357-012-9100-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00357-012-9100-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00357-012-9100-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,17]],"date-time":"2024-04-17T21:37:51Z","timestamp":1713389871000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00357-012-9100-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,1,17]]},"references-count":37,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2012,4]]}},"alternative-id":["9100"],"URL":"https:\/\/doi.org\/10.1007\/s00357-012-9100-9","relation":{},"ISSN":["0176-4268","1432-1343"],"issn-type":[{"value":"0176-4268","type":"print"},{"value":"1432-1343","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,1,17]]}}}