{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T20:50:03Z","timestamp":1742935803492,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":20,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662449820"},{"type":"electronic","value":"9783662449837"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-662-44983-7_3","type":"book-chapter","created":{"date-parts":[[2015,5,6]],"date-time":"2015-05-06T15:06:40Z","timestamp":1430924800000},"page":"29-42","source":"Crossref","is-referenced-by-count":2,"title":["Finding the Number of Disparate Clusters with Background Contamination"],"prefix":"10.1007","author":[{"given":"Anthony C.","family":"Atkinson","sequence":"first","affiliation":[]},{"given":"Andrea","family":"Cerioli","sequence":"additional","affiliation":[]},{"given":"Gianluca","family":"Morelli","sequence":"additional","affiliation":[]},{"given":"Marco","family":"Riani","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"3_CR1","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1016\/j.csda.2006.12.034","volume":"52","author":"A. C. Atkinson","year":"2007","unstructured":"Atkinson, A. C., & Riani, M. (2007). Exploratory tools for clustering multivariate data. Computational Statistics and Data Analysis, 52, 272\u2013285.","journal-title":"Computational Statistics and Data Analysis"},{"key":"3_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-21840-3","volume-title":"Exploring multivariate data with the forward search","author":"A. C. Atkinson","year":"2004","unstructured":"Atkinson, A. C., Riani, M., & Cerioli, A. (2004). Exploring multivariate data with the forward search. New York: Springer."},{"key":"3_CR3","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/3-540-35978-8_19","volume-title":"Data Analysis, Classification and the Forward Search","author":"A. C. Atkinson","year":"2006","unstructured":"Atkinson, A. C., Riani, M., & Cerioli, A. (2006). Random start forward searches with envelopes for detecting clusters in multivariate data. In S. Zani, A. Cerioli, M. Riani, & M. Vichi (Eds.), Data Analysis, Classification and the Forward Search (pp. 163\u2013171). Berlin: Springer."},{"key":"3_CR4","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1007\/s11634-013-0151-5","volume":"8","author":"A. Cerioli","year":"2014","unstructured":"Cerioli, A., & Perrotta, D. (2014). Robust clustering around regression lines with high density regions. Advances in Data Analysis and Classification, 8, 5\u201326.","journal-title":"Advances in Data Analysis and Classification"},{"key":"3_CR5","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/s11634-010-0065-4","volume":"4","author":"P. Coretto","year":"2010","unstructured":"Coretto, P., & Hennig, C. (2010). A simulation study to compare robust clustering methods based on mixtures. Advances in Data Analysis and Classification, 4, 111\u2013135.","journal-title":"Advances in Data Analysis and Classification"},{"key":"3_CR6","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/BF01897164","volume":"5","author":"E. B. Fowlkes","year":"1988","unstructured":"Fowlkes, E. B., Gnanadesikan, R., & Kettenring, J. R. (1988). Variable selection in clustering. Journal of Classification, 5, 205\u2013228.","journal-title":"Journal of Classification"},{"key":"3_CR7","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1198\/016214502760047131","volume":"97","author":"C. Fraley","year":"2002","unstructured":"Fraley, C., & Raftery, A. E. (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association, 97, 611\u2013631.","journal-title":"Journal of the American Statistical Association"},{"key":"3_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v047.i12","volume":"47","author":"H. Fritz","year":"2012","unstructured":"Fritz, H., Garc\u00eda-Escudero, L. A., & Mayo-Iscar, A. (2012). TCLUST: An R package for a trimming approach to cluster analysis. Journal of Statistical Software, 47, 1\u201326.","journal-title":"Journal of Statistical Software"},{"key":"3_CR9","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/s11634-009-0044-9","volume":"3","author":"M. T. Gallegos","year":"2009","unstructured":"Gallegos, M. T., & Ritter, G. (2009). Trimming algorithms for clustering contaminated grouped data and their robustness. Advances in Data Analysis and Classification, 3, 135\u2013167.","journal-title":"Advances in Data Analysis and Classification"},{"key":"3_CR10","doi-asserted-by":"publisher","first-page":"1324","DOI":"10.1214\/07-AOS515","volume":"36","author":"L. A. Garc\u00eda-Escudero","year":"2008","unstructured":"Garc\u00eda-Escudero, L. A., Gordaliza, A., Matr\u00e1n, C., & Mayo-Iscar, A. (2008). A general trimming approach to robust cluster analysis. Annals of Statistics, 36, 1324\u20131345.","journal-title":"Annals of Statistics"},{"key":"3_CR11","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1007\/s11634-010-0064-5","volume":"4","author":"L. A. Garc\u00eda-Escudero","year":"2010","unstructured":"Garc\u00eda-Escudero, L. A., Gordaliza, A., Matr\u00e1n, C., & Mayo-Iscar, A. (2010). A review of robust clustering methods. Advances in Data Analysis and Classification, 4, 89\u2013109.","journal-title":"Advances in Data Analysis and Classification"},{"key":"3_CR12","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1007\/s11222-010-9194-z","volume":"21","author":"L. A. Garc\u00eda-Escudero","year":"2011","unstructured":"Garc\u00eda-Escudero, L. A., Gordaliza, A., Matr\u00e1n, C., & Mayo-Iscar, A. (2011). Exploring the number of groups in model-based clustering. Statistics and Computing, 21, 585\u2013599.","journal-title":"Statistics and Computing"},{"key":"3_CR13","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1016\/S0167-9473(02)00077-4","volume":"40","author":"C. Hennig","year":"2002","unstructured":"Hennig, C., & Christlieb, N. (2002). Validating visual clusters in large datasets: Fixed point clusters of spectral features. Computational Statistics and Data Analysis, 40, 723\u2013739.","journal-title":"Computational Statistics and Data Analysis"},{"key":"3_CR14","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316801","volume-title":"Finding groups in data. An introduction to cluster analysis","author":"L. Kaufman","year":"1990","unstructured":"Kaufman, L., & Rousseeuw, P. J. (1990). Finding groups in data. An introduction to cluster analysis. New York: Wiley."},{"key":"3_CR15","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1007\/s10260-013-0237-4","volume":"22","author":"S. X. Lee","year":"2013","unstructured":"Lee, S. X., & Mclachlan, G. J. (2013). Model-based clustering and classification with non-normal mixture distributions. Statistical Methods and Applications, 22, 427\u2013454.","journal-title":"Statistical Methods and Applications"},{"key":"3_CR16","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1007\/BF02293907","volume":"45","author":"G. W. Milligan","year":"1980","unstructured":"Milligan, G. W. (1980). An examination of the effect of six types of error perturbation on fifteen clustering algorithms. Psychometrika, 45, 325\u2013342.","journal-title":"Psychometrika"},{"key":"3_CR17","unstructured":"Morelli, G. (2013). A comparison of different classification methods. Ph.D. dissertation, Universit\u00e0 di Parma."},{"key":"3_CR18","doi-asserted-by":"publisher","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., & Cerioli, A. (2009). Finding an unknown number of multivariate outliers. Journal of the Royal Statistical Society, Series B, 71, 447\u2013466.","journal-title":"Journal of the Royal Statistical Society, Series B"},{"key":"3_CR19","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.chemolab.2012.03.017","volume":"116","author":"M. Riani","year":"2012","unstructured":"Riani, M., Perrotta, D., & Torti, F. (2012). FSDA: A MATLAB toolbox for robust analysis and interactive data exploration. Chemometrics and Intelligent Laboratory Systems, 116, 17\u201332.","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"3_CR20","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1214\/13-STS437","volume":"29","author":"M. Riani","year":"2014","unstructured":"Riani, M., Atkinson, A. C., & Perrotta, D. (2014). A parametric framework for the comparison of methods of very robust regression. Statistical Science, 29, 128\u2013143.","journal-title":"Statistical Science"}],"container-title":["Studies in Classification, Data Analysis, and Knowledge Organization","Data Science, Learning by Latent Structures, and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-44983-7_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,8]],"date-time":"2024-06-08T21:00:16Z","timestamp":1717880416000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-662-44983-7_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783662449820","9783662449837"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-44983-7_3","relation":{},"ISSN":["1431-8814","2198-3321"],"issn-type":[{"type":"print","value":"1431-8814"},{"type":"electronic","value":"2198-3321"}],"subject":[],"published":{"date-parts":[[2015]]}}}