{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T23:42:44Z","timestamp":1748734964432},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2014,12,24]],"date-time":"2014-12-24T00:00:00Z","timestamp":1419379200000},"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":["Comput Stat"],"published-print":{"date-parts":[[2015,6]]},"DOI":"10.1007\/s00180-014-0544-8","type":"journal-article","created":{"date-parts":[[2014,12,23]],"date-time":"2014-12-23T09:57:27Z","timestamp":1419328647000},"page":"463-475","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Reduced $$k$$ k -means clustering with MCA in a low-dimensional space"],"prefix":"10.1007","volume":"30","author":[{"given":"Masaki","family":"Mitsuhiro","sequence":"first","affiliation":[]},{"given":"Hiroshi","family":"Yadohisa","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,12,24]]},"reference":[{"key":"544_CR1","volume-title":"Nonmetric multivariate analysis","author":"K Adachi","year":"2011","unstructured":"Adachi K, Murakami T (2011) Nonmetric multivariate analysis. Asakura-Shoten, Tokyo (in Japanese)"},{"key":"544_CR2","volume-title":"Handbook of marketing research","author":"P Arabie","year":"1994","unstructured":"Arabie P, Hubert L (1994) Cluster analysis in marketing research. In: Bagozzi RP (ed) Handbook of marketing research. Blackwell, Oxford"},{"key":"544_CR3","doi-asserted-by":"crossref","unstructured":"De Soete G, Carroll JD (1994) K-means clustering in a low-dimensional Euclidean space. In: Diday E, Lechevallier Y, Schader M, Bertrand P, Burtschy B (eds) New approaches in classification and data analysis. Springer, Heidelberg, pp 212\u2013219","DOI":"10.1007\/978-3-642-51175-2_24"},{"key":"544_CR4","volume-title":"Nonlinear multivariate analysis","author":"A Gifi","year":"1990","unstructured":"Gifi A (1990) Nonlinear multivariate analysis. Wiley, Chichester"},{"key":"544_CR5","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1007\/BF01908075","volume":"2","author":"L Hubert","year":"1985","unstructured":"Hubert L, Arabie P (1985) Comparing partitions. J Classif 2:193\u2013218","journal-title":"J Classif"},{"key":"544_CR6","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1080\/00273170903504893","volume":"45","author":"H Hwang","year":"2010","unstructured":"Hwang H, Dillon WR (2010) Simultaneous two-way clustering of multiple correspondence analysis. Multivar Behav Res 45:186\u2013208","journal-title":"Multivar Behav Res"},{"key":"544_CR7","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1007\/s11336-004-1173-x","volume":"71","author":"H Hwang","year":"2006","unstructured":"Hwang H, Dillon WR, Takane Y (2006) An extension of multiple correspondence analysis for identifying heterogeneous subgroups of respondents. Psychometrika 71:161\u2013171","journal-title":"Psychometrika"},{"key":"544_CR8","doi-asserted-by":"crossref","first-page":"111","DOI":"10.2333\/bhmk.37.111","volume":"37","author":"H Hwang","year":"2010","unstructured":"Hwang H, Dillon WR, Takane Y (2010) Fuzzy cluster multiple correspondence analysis. Behaviormetrika 37:111\u2013133","journal-title":"Behaviormetrika"},{"key":"544_CR9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s00180-013-0394-9","volume":"28","author":"A Iodice D\u2019 Enza","year":"2013","unstructured":"Iodice D\u2019 Enza A, Palumbo F (2013) Iterative factor clustering of binary data. Comput Stat 28:1\u201319","journal-title":"Comput Stat"},{"key":"544_CR10","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1007\/978-3-319-06692-9_18","volume-title":"Analysis and modeling of complex data in behavioral and social sciences","author":"A Iodice D\u2019 Enza","year":"2014","unstructured":"Iodice D\u2019 Enza A, Van de Velden M, Palumbo F (2014) On joint dimension reduction and clustering of categorical data. In: Vicari D, Okada A, Ragozini G, Weihs C (eds) Analysis and modeling of complex data in behavioral and social sciences. Springer, Switzerland, pp 161\u2013169"},{"key":"544_CR11","volume-title":"The Audubon Society field guide to North American mushrooms","author":"GH Lineoff","year":"1981","unstructured":"Lineoff GH (1981) The Audubon Society field guide to North American mushrooms. Alfred A. Knopf, New York"},{"key":"544_CR12","first-page":"281","volume":"1","author":"J MacQueen","year":"1967","unstructured":"MacQueen J (1967) Some methods for classification and analysis of multivariate observations. Proc Fifth Berkeley Symp Math Stat Probab 1:281\u2013297","journal-title":"Proc Fifth Berkeley Symp Math Stat Probab"},{"key":"544_CR13","doi-asserted-by":"crossref","unstructured":"Rocci R, Garrone SA, Vichi M (2011) A new dimension reduction method: factor discriminant $$k$$ k -means. J Classif 28:210\u2013226","DOI":"10.1007\/s00357-011-9085-9"},{"key":"544_CR14","volume-title":"Least squares optimization in multivariate analysis","author":"JM Berge ten","year":"1993","unstructured":"ten Berge JM (1993) Least squares optimization in multivariate analysis. DSWO Press, Leiden University, Leiden"},{"key":"544_CR15","doi-asserted-by":"crossref","first-page":"1858","DOI":"10.1016\/j.csda.2010.02.009","volume":"54","author":"ME Timmerman","year":"2010","unstructured":"Timmerman ME, Ceulemans E, Kiers HAL, Vichi M (2010) Factorial and reduced $$K$$ K -means reconsidered. Comput Stat Data Anal 54:1858\u20131871","journal-title":"Comput Stat Data Anal"},{"key":"544_CR16","doi-asserted-by":"crossref","unstructured":"Van Buuren S, Heiser WJ (1989) Clustering $$N$$ N objects into $$K$$ K groups under optimal scaling of variables. Psychometrika 54:699\u2013706","DOI":"10.1007\/BF02296404"},{"key":"544_CR17","unstructured":"Van de Velden M, Iodice D\u2019 Enza A, Palumbo F (2012) On joint dimension reduction and clustering. In: JCS-CLADAG, analysis and modeling of complex data in behavioural and social sciences, September 3\u20134, 2012, Capri, Italy"},{"key":"544_CR18","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/S0167-9473(00)00064-5","volume":"37","author":"M Vichi","year":"2001","unstructured":"Vichi M, Kiers HAL (2001) Factorial $$k$$ k -means analysis for two-way data. Comput Stat Data Anal 37:49\u201364","journal-title":"Comput Stat Data Anal"}],"container-title":["Computational Statistics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00180-014-0544-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00180-014-0544-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00180-014-0544-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,18]],"date-time":"2019-08-18T19:07:37Z","timestamp":1566155257000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00180-014-0544-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,12,24]]},"references-count":18,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2015,6]]}},"alternative-id":["544"],"URL":"https:\/\/doi.org\/10.1007\/s00180-014-0544-8","relation":{},"ISSN":["0943-4062","1613-9658"],"issn-type":[{"value":"0943-4062","type":"print"},{"value":"1613-9658","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,12,24]]}}}