{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T04:21:08Z","timestamp":1759033268883},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2012,8,17]],"date-time":"2012-08-17T00:00:00Z","timestamp":1345161600000},"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\/s00357-012-9113-4","type":"journal-article","created":{"date-parts":[[2012,8,16]],"date-time":"2012-08-16T03:18:03Z","timestamp":1345087083000},"page":"277-296","source":"Crossref","is-referenced-by-count":5,"title":["Block-Relaxation Approaches for Fitting the INDCLUS Model"],"prefix":"10.1007","volume":"29","author":[{"given":"Tom F.","family":"Wilderjans","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dirk","family":"Depril","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iven","family":"Van Mechelen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2012,8,17]]},"reference":[{"key":"9113_CR1","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/BF02294077","volume":"45","author":"P Arabie","year":"1980","unstructured":"ARABIE, P., and CARROLL, J.D. (1980), \u201cMAPCLUS: A Mathematical Programming Approach to Fitting the ADCLUS Model,\u201d Psychometrika, 45, 211\u2013235.","journal-title":"Psychometrika"},{"key":"9113_CR2","doi-asserted-by":"crossref","first-page":"379","DOI":"10.3758\/BF03192707","volume":"37","author":"R Bakeman","year":"2005","unstructured":"BAKEMAN, R. (2005), \u201cRecommended Effect Size Statistics for Repeated Measures Designs,\u201d Behavior Research Methods, 37, 379\u2013384.","journal-title":"Behavior Research Methods"},{"key":"9113_CR3","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1002\/(SICI)1099-128X(199709\/10)11:5<393::AID-CEM483>3.0.CO;2-L","volume":"11","author":"R Bro","year":"1997","unstructured":"BRO, R., and DE JONG, S. (1997), \u201cA Fast Non-Negativity-Constrained Least Squares Algorithm,\u201d Journal of Chemometrics, 11, 393\u2013401.","journal-title":"Journal of Chemometrics"},{"key":"9113_CR4","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1007\/BF02294012","volume":"48","author":"JD CARROLL","year":"1983","unstructured":"CARROLL, J.D., and ARABIE, P. (1983), \u201cINDCLUS: An Individual Differences Generalization of the ADCLUS Model and the MAPCLUS Algorithm,\u201d Psychometrika, 48, 157\u2013169.","journal-title":"Psychometrika"},{"key":"9113_CR5","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1007\/s11336-007-9000-9","volume":"72","author":"E Ceulemans","year":"2007","unstructured":"CEULEMANS, E., VAN MECHELEN, I., and LEENEN, I. (2007), \u201cThe Local Minima Problem in Hierarchical Classes Analysis: An Evaluation of a Simulated Annealing Algorithm and Various Multistart Procedures,\u201d Psychometrika, 72, 377\u2013391.","journal-title":"Psychometrika"},{"key":"9113_CR6","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1007\/BF01195676","volume":"11","author":"A Chaturvedi","year":"1994","unstructured":"CHATURVEDI, A., and CARROLL, J.D. (1994), \u201cAn Alternating Combinatorial Optimization Approach to Fitting the INDCLUS and Generalized INDCLUSModels,\u201d Journal of Classification, 11, 155\u2013170.","journal-title":"Journal of Classification"},{"key":"9113_CR7","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1177\/001316446002000104","volume":"20","author":"J Cohen","year":"1960","unstructured":"COHEN, J. (1960), \u201cA Coefficient of Agreement for Nominal Scales,\u201d Educational and Psychological Measurement, 20, 37\u201346.","journal-title":"Educational and Psychological Measurement"},{"key":"9113_CR8","doi-asserted-by":"crossref","unstructured":"DE LEEUW, J. (1994), \u201cBlock-Relaxation Algorithms in Statistics\u201d, in: Information Systems and Data Analysis, eds. H.H. Bock, W. Lenski, and M.M. Richter, Berlin: Springer-Verlag, pp. 308\u2013325.","DOI":"10.1007\/978-3-642-46808-7_28"},{"key":"9113_CR9","doi-asserted-by":"crossref","first-page":"4923","DOI":"10.1016\/j.csda.2008.04.014","volume":"52","author":"D Depril","year":"2008","unstructured":"DEPRIL, D., VAN MECHELEN, I., and MIRKIN, B.G. (2008), \u201cAlgorithms for Additive Clustering of Rectangular Data Tables,\u201d Computational Statistics and Data Analysis, 52, 4923\u20134938.","journal-title":"Computational Statistics and Data Analysis"},{"key":"9113_CR10","unstructured":"DHILLON, I.S., GUAN, Y., and KOGAN, J. (2002), \u201cRefining Clusters in High-Dimensional Text Data\u201d, in: Proceedings of the Workshop on Clustering High Dimensional Data and its Applications at the Second SIAM International Conference on Data Mining, eds. I.S. Dhillon, and J. Kogan, SIAM 2002, pp. 71\u201382."},{"key":"9113_CR11","doi-asserted-by":"crossref","DOI":"10.1201\/9780429258411","volume-title":"Bayesian Data Analysis","author":"A Gelman","year":"1995","unstructured":"GELMAN, A., CARLIN, J.B., STERN, H.S., and RUBIN, D.B. (1995), Bayesian Data Analysis, London: Chapman and Hall."},{"key":"9113_CR12","doi-asserted-by":"crossref","first-page":"2035","DOI":"10.1103\/PhysRevD.40.2035","volume":"40","author":"J Goodman","year":"1989","unstructured":"GOODMAN, J., and SOKAL, A.D. (1989), \u201cMultigrid Monte Carlo Method: Conceptual Foundations,\u201d Physical Review D, 40, 2035\u20132071.","journal-title":"Physical Review D"},{"key":"9113_CR13","unstructured":"HARSHMAN, R.A., and LUNDY, M.E. (1984), \u201cThe PARAFAC Model\u201d, in: Research Methods for Multimode Data Analysis, eds. H.G. Law, C.W. Snyder, Jr., J.A. Hattie, and R.P. McDonald, New York: Praeger, pp. 122\u2013215."},{"key":"9113_CR14","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1007\/s003579900014","volume":"14","author":"HAL KIERS","year":"1997","unstructured":"KIERS, H.A.L. (1997), \u201cA Modification of the SINDCLUS Algorithm for Fitting the ADCLUS and INDCLUS Models,\u201d Journal of Classification, 14, 297\u2013310.","journal-title":"Journal of Classification"},{"key":"9113_CR15","doi-asserted-by":"crossref","unstructured":"LARSEN, B., and AONE, C. (1999), \u201cFast and Effective Text Mining Using Linear-Time Document Clustering\u201d, in: Proceedings of the Fifth ACM SIGKDD, San Diego, CA, pp. 16\u201322.","DOI":"10.1145\/312129.312186"},{"key":"9113_CR16","volume-title":"Solving Least Squares Problems","author":"CL LAWSON","year":"1974","unstructured":"LAWSON, C.L., and HANSON, R.J. (1974), Solving Least Squares Problems, Englewood Cliffs, NJ: Prentice-Hall Inc."},{"key":"9113_CR17","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1007\/BF02293907","volume":"45","author":"GW MILLIGAN","year":"1980","unstructured":"MILLIGAN, G.W. (1980), \u201cAn Examination of the Effect of Six Types of Error Perturbation on Fifteen Clustering Algorithms,\u201d Psychometrika, 45, 325\u2013342.","journal-title":"Psychometrika"},{"key":"9113_CR18","first-page":"131","volume":"10","author":"BG MIRKIN","year":"1987","unstructured":"MIRKIN, B.G. (1987), \u201cThe Method of Principal Clusters,\u201d Automation and Remote Control, 10, 131\u2013143.","journal-title":"Automation and Remote Control"},{"key":"9113_CR19","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1007\/BF01908715","volume":"7","author":"BG MIRKIN","year":"1990","unstructured":"MIRKIN, B.G. (1990), \u201cA Sequential Fitting Procedure for Linear Data Analysis Models,\u201d Journal of Classification, 7, 167\u2013195.","journal-title":"Journal of Classification"},{"key":"9113_CR20","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4613-0457-9","volume-title":"Mathematical Classification and Clustering (Nonconvex Optimization and its Applications)","author":"BG MIRKIN","year":"1996","unstructured":"MIRKIN, B.G. (1996), Mathematical Classification and Clustering (Nonconvex Optimization and its Applications), Boston-Dordrecht: Kluwer Academic Press."},{"key":"9113_CR21","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1111\/1467-9868.00070","volume":"59","author":"GO ROBERTS","year":"1997","unstructured":"ROBERTS, G.O., and SAHU, S.K. (1997), \u201cUpdating Schemes, Correlation Structure, Blocking and Parameterization for the Gibbs Sampler,\u201d Journal of the Royal Statistical Society: Series B, 59, 291\u2013317.","journal-title":"Journal of the Royal Statistical Society: Series B"},{"key":"9113_CR22","doi-asserted-by":"crossref","first-page":"1623","DOI":"10.1016\/j.csda.2006.06.002","volume":"51","author":"J Schepers","year":"2006","unstructured":"SCHEPERS, J., VAN MECHELEN, I., and CEULEMANS, E. (2006), \u201cThree-Mode Partitioning,\u201d Computational Statistics and Data Analysis, 51, 1623\u20131642.","journal-title":"Computational Statistics and Data Analysis"},{"key":"9113_CR23","unstructured":"SEEWALD, W. (1992), \u201cDiscussion on Parameterization Issues in Bayesian Inference (by S. E. Hills and A. F. M. Smith)\u201d, in: Bayesian Statistics 4, eds. J.M. Bernardo, J.O. Berger, A.P. Dawid, and A.F.M. Smith, Oxford: Oxford University Press, pp. 241\u2013243."},{"key":"9113_CR24","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1037\/0033-295X.86.2.87","volume":"86","author":"RN SHEPARD","year":"1979","unstructured":"SHEPARD, R.N., and ARABIE, P. (1979), \u201cAdditive Clustering: Representation of Similarities as Combinations of Discrete Overlapping Properties,\u201d Psychological Review, 86, 87\u2013123.","journal-title":"Psychological Review"},{"key":"9113_CR25","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1111\/j.2517-6161.1993.tb01466.x","volume":"55","author":"AFM SMITH","year":"1993","unstructured":"SMITH, A.F.M., and ROBERTS, G.O. (1993), \u201cBayesian Computation via the Gibbs Sampler and Related Markov Chain Monte Carlo Methods,\u201d Journal of the Royal Statistical Society: Series B, 55, 3\u201323.","journal-title":"Journal of the Royal Statistical Society: Series B"},{"key":"9113_CR26","unstructured":"STEINBACH, M., KARYPIS, G., and KUMAR, V. (2000), \u201cA Comparison of Document Clustering Techniques\u201d, in: Proceedings of the Sixth ACM SIGKDD, World Text Mining Conference, Boston, MA."},{"key":"9113_CR27","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/s00357-005-0017-4","volume":"22","author":"JMF TEN BERGE","year":"2005","unstructured":"TEN BERGE, J.M.F., and KIERS, H.A.L. (2005), \u201cA Comparison of Two Methods for Fitting the INDCLUS Model,\u201d Journal of Classification, 22, 273\u2013286.","journal-title":"Journal of Classification"},{"key":"9113_CR28","unstructured":"TUKEY, J.W. (1953), \u201cThe Problem of Multiple Comparisons\u201d, Mimeographed monograph."},{"key":"9113_CR29","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1037\/0033-295X.84.4.327","volume":"84","author":"A Tversky","year":"1977","unstructured":"TVERSKY, A. (1977), \u201cFeatures of Similarity,\u201d Psychological Review, 84, 327\u2013352.","journal-title":"Psychological Review"},{"key":"9113_CR30","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1348\/000711010X513263","volume":"64","author":"TF WILDERJANS","year":"2011","unstructured":"WILDERJANS, T.F., CEULEMANS, E., VAN MECHELEN, I., and VAN DEN BERG, R.A. (2011), \u201cSimultaneous Analysis of Coupled Data Matrices Subject to Different Amounts of Noise,\u201d British Journal of Mathematical and Statistical Psychology, 64, 277\u2013290.","journal-title":"British Journal of Mathematical and Statistical Psychology"},{"key":"9113_CR31","doi-asserted-by":"crossref","first-page":"1086","DOI":"10.1016\/j.csda.2008.09.031","volume":"53","author":"TF WILDERJANS","year":"2009","unstructured":"WILDERJANS, T.F., CEULEMANS, E., and VAN MECHELEN, I. (2009), \u201cSimultaneous Analysis of Coupled Data Blocks Differing in Size: A Comparison of Two Weighting Schemes,\u201d Computational Statistics and Data Analysis, 53, 1086\u20131098.","journal-title":"Computational Statistics and Data Analysis"}],"container-title":["Journal of Classification"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00357-012-9113-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00357-012-9113-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00357-012-9113-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,28]],"date-time":"2024-04-28T12:52:22Z","timestamp":1714308742000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00357-012-9113-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,8,17]]},"references-count":31,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2012,10]]}},"alternative-id":["9113"],"URL":"https:\/\/doi.org\/10.1007\/s00357-012-9113-4","relation":{},"ISSN":["0176-4268","1432-1343"],"issn-type":[{"value":"0176-4268","type":"print"},{"value":"1432-1343","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,8,17]]}}}