{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T20:29:48Z","timestamp":1742934588571,"version":"3.40.3"},"publisher-location":"Heidelberg","reference-count":16,"publisher":"Physica-Verlag HD","isbn-type":[{"type":"print","value":"9783790826036"},{"type":"electronic","value":"9783790826043"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-7908-2604-3_33","type":"book-chapter","created":{"date-parts":[[2010,11,8]],"date-time":"2010-11-08T10:41:11Z","timestamp":1289212871000},"page":"359-367","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The Generic Subspace Clustering Model"],"prefix":"10.1007","author":[{"given":"Marieke E.","family":"Timmerman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eva","family":"Ceulemans","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2010,9,30]]},"reference":[{"key":"33_CR1","doi-asserted-by":"publisher","first-page":"803","DOI":"10.2307\/2532201","volume":"49","author":"J.D. Banfield","year":"1993","unstructured":"BANFIELD, J.D. and RAFTERY, A.E. (1993): Model-based Gaussian and Non-Gaussian Clustering. Biometrics, 49, 803-821.","journal-title":"Biometrics"},{"key":"33_CR2","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1016\/j.csda.2007.02.009","volume":"52","author":"C. Bouveyron","year":"2007","unstructured":"BOUVEYRON, C., GIRARD, S. and SCHMID, C. (2007): High-Dimensional Data Clustering. Computational Statistics and Data Analysis, 52, 502-519.","journal-title":"Computational Statistics and Data Analysis"},{"key":"33_CR3","volume-title":"Dynamic programming","author":"R. Bellman","year":"1957","unstructured":"BELLMAN, R. (1957): Dynamic programming. Princeton University Press, Princeton, NJ."},{"key":"33_CR4","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/978-94-009-3977-6_2","volume-title":"Multivariate Statistical Modeling and Data Analysis","author":"H.H. Bock","year":"1987","unstructured":"BOCK, H.H. (1987). On the interface between cluster analysis, principal component analysis, and multidimensional scaling. In: H. Bozdogan and A.K. Gupta (Eds). Multivariate Statistical Modeling and Data Analysis. Dordrecht: D. Reidel Publishing Company. pp. 17-34."},{"key":"33_CR5","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1007\/BF02294206","volume":"49","author":"W.S. Desarbo","year":"1984","unstructured":"DESARBO, W.S., CARROLL, J.D., CLARK, L.A. and GREEN, P.E. (1984): Synthesized clustering: A method for amalgating alternative clustering bases with differential weighting of variables. Psychometrika, 49, 57-78.","journal-title":"Psychometrika"},{"key":"33_CR6","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/BF00227423","volume":"20","author":"G. De Soete","year":"1986","unstructured":"DE SOETE, G. (1986). Optimal variable weighting for ultrametric and additive tree clustering. Quality and Quantity, 20, 169-180.","journal-title":"Quality and Quantity"},{"key":"33_CR7","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1007\/978-3-642-51175-2_24","volume-title":"New Approaches in Classification and Data Analysis","author":"G. De Soete","year":"1994","unstructured":"DE SOETE, G. and CARROLL, J.D. (1994): K-means clustering in a low-dimensional Euclidean space. In: E. Diday et al. (Eds). New Approaches in Classification and Data Analysis. Springer: Heidelberg, pp. 212-219."},{"key":"33_CR8","doi-asserted-by":"publisher","first-page":"1159","DOI":"10.2307\/2283767","volume":"62","author":"H.P. Friedman","year":"1967","unstructured":"FRIEDMAN, H.P. and RUBIN, J. (1967): On some invariant criteria for grouping data. Journal of the American Statistical Association, 62, 1159-1178.","journal-title":"Journal of the American Statistical Association"},{"key":"33_CR9","volume-title":"Classification","author":"A.D. Gordon","year":"1981","unstructured":"GORDON, A.D. (1981): Classification. London: Chapman and Hall."},{"key":"33_CR10","unstructured":"MACQUEEN, J. (1967): Some methods for classification and analysis of multivariate observations. In: L.M. LeCarn and J. Neyman (Eds). 5th Berkeley Symposium on Mathematics, Statistics and Probability. University of California Press, Berkeley, 1, 281-296."},{"key":"33_CR11","doi-asserted-by":"publisher","DOI":"10.1002\/0471721182","volume-title":"Finite Mixture Models","author":"G.J. Mclachlan","year":"2000","unstructured":"MCLACHLAN, G.J. and PEEL, D. (2000): Finite Mixture Models. New York: Wiley."},{"key":"33_CR12","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/S0167-9473(02)00183-4","volume":"41","author":"G.J. Mclachlan","year":"2003","unstructured":"MCLACHLAN, G.J., PEEL, D. and BEAN, R.W. (2003): Modelling high-dimensional data by mixtures of factor analyzers. Computational Statistics and Data Analysis, 41, 379-388.","journal-title":"Computational Statistics and Data Analysis"},{"key":"33_CR13","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1142\/9789812832153_0010","volume-title":"Clustering and Classification","author":"G.W. Milligan","year":"1996","unstructured":"MILLIGAN, G.W. (1996): Clustering validation: Results and implications for applied analysis. In: P. Arabie, L.J. Hubert and G. De Soete (Eds.). Clustering and Classification. River Edge: World Scientific Publishing, pp. 341-375."},{"key":"33_CR14","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/BF01897163","volume":"5","author":"G.W. Milligan","year":"1988","unstructured":"MILLIGAN, G.W. and COOPER, M.C. (1988): A Study of Standardization of Variables in Cluster Analysis. Journal of Classification, 5, 181-204.","journal-title":"Journal of Classification"},{"key":"33_CR15","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1348\/000711005X67599","volume":"59","author":"M.E. Timmerman","year":"2006","unstructured":"TIMMERMAN, M.E. (2006): Multilevel Component Analysis. British Journal of Mathematical and Statistical Psychology, 59, 301-320.","journal-title":"British Journal of Mathematical and Statistical Psychology"},{"key":"33_CR16","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/S0167-9473(00)00064-5","volume":"37","author":"M. Vichi","year":"2001","unstructured":"VICHI, M. and KIERS, H.A.L. (2001): Factorial k-means analysis for two-way data. Computational Statistics and Data Analysis, 37, 49-64.","journal-title":"Computational Statistics and Data Analysis"}],"container-title":["Proceedings of COMPSTAT'2010"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-7908-2604-3_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T16:07:01Z","timestamp":1714752421000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-7908-2604-3_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783790826036","9783790826043"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-7908-2604-3_33","relation":{},"subject":[],"published":{"date-parts":[[2010]]},"assertion":[{"value":"30 September 2010","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}