{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T18:40:54Z","timestamp":1784054454743,"version":"3.55.0"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,6,23]],"date-time":"2018-06-23T00:00:00Z","timestamp":1529712000000},"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":["Adv Data Anal Classif"],"published-print":{"date-parts":[[2019,3]]},"DOI":"10.1007\/s11634-018-0326-1","type":"journal-article","created":{"date-parts":[[2018,6,23]],"date-time":"2018-06-23T12:10:01Z","timestamp":1529755801000},"page":"325-341","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":42,"title":["Studying crime trends in the USA over the years 2000\u20132012"],"prefix":"10.1007","volume":"13","author":[{"given":"Volodymyr","family":"Melnykov","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7644-2695","authenticated-orcid":false,"given":"Xuwen","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,6,23]]},"reference":[{"key":"326_CR1","first-page":"128","volume":"3","author":"D Akdemir","year":"2010","unstructured":"Akdemir D, Gupta A (2010) A matrix variate skew distribution. Eur J Pure Appl Math 3:128\u2013140","journal-title":"Eur J Pure Appl Math"},{"key":"326_CR2","doi-asserted-by":"publisher","first-page":"777","DOI":"10.1214\/15-AOAS816","volume":"9","author":"L Anderlucci","year":"2015","unstructured":"Anderlucci L, Viroli C (2015) Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data. Ann Appl Stat 9:777\u2013800","journal-title":"Ann Appl Stat"},{"key":"326_CR3","volume-title":"Exploring multivariate data with the forward search","author":"AC Atkinson","year":"2003","unstructured":"Atkinson AC, Riani M, Cerioli A (2003) Exploring multivariate data with the forward search. Clarendon Press, Oxford"},{"issue":"3","key":"326_CR4","doi-asserted-by":"publisher","first-page":"803","DOI":"10.2307\/2532201","volume":"49","author":"JD Banfield","year":"1993","unstructured":"Banfield JD, Raftery AE (1993) Model-based Gaussian and non-Gaussian clustering. Biometrics 49(3):803\u2013821","journal-title":"Biometrics"},{"issue":"2","key":"326_CR5","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1111\/j.2517-6161.1964.tb00553.x","volume":"26","author":"GE Box","year":"1964","unstructured":"Box GE, Cox DR (1964) An analysis of transformations. J R Stat Soc Ser B 26(2):211\u2013252","journal-title":"J R Stat Soc Ser B"},{"issue":"2","key":"326_CR6","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1002\/cjs.11246","volume":"43","author":"RP Browne","year":"2015","unstructured":"Browne RP, McNicholas PD (2015) A mixture of generalized hyperbolic distributions. Can J Stat 43(2):176\u2013198","journal-title":"Can J Stat"},{"issue":"1","key":"326_CR7","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.csda.2011.06.026","volume":"56","author":"C Cabral","year":"2012","unstructured":"Cabral C, Lachos V, Prates M (2012) Multivariate mixture modeling using skew-normal independent distributions. Comput Stat Data Anal 56(1):126\u2013142","journal-title":"Comput Stat Data Anal"},{"key":"326_CR8","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1080\/02331880500108593","volume":"39","author":"J Chen","year":"2005","unstructured":"Chen J, Gupta A (2005) Matrix variate skew normal distribution. Statistics 39:247\u2013253","journal-title":"Statistics"},{"issue":"1","key":"326_CR9","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 AP, Laird NM, Rubin DB (1977) Maximum likelihood for incomplete data via the EM algorithm (with discussion). J R Stat Soc Ser B 39(1):1\u201338","journal-title":"J R Stat Soc Ser B"},{"key":"326_CR10","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1111\/j.2517-6161.1969.tb00806.x","volume":"31","author":"NR Draper","year":"1969","unstructured":"Draper NR, Cox DR (1969) On distributions and their transformations to normality. J R Stat Soc B 31:472\u2013476","journal-title":"J R Stat Soc B"},{"key":"326_CR11","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1198\/016214502760047131","volume":"97","author":"C Fraley","year":"2002","unstructured":"Fraley C, Raftery AE (2002) Model-based clustering, discriminant analysis, and density estimation. J Am Stat Assoc 97:611\u2013631","journal-title":"J Am Stat Assoc"},{"issue":"6","key":"326_CR12","doi-asserted-by":"publisher","first-page":"1149","DOI":"10.1109\/TPAMI.2013.216","volume":"36","author":"BC Franczak","year":"2014","unstructured":"Franczak BC, Browne RP, McNicholas PD (2014) Mixtures of shifted asymmetric Laplace distributions. IEEE Trans Pattern Anal Mach Intell 36(6):1149\u20131157","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"326_CR13","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1002\/sta4.143","volume":"6","author":"M Gallaugher","year":"2017","unstructured":"Gallaugher M, McNicholas P (2017) A matrix variate skew-t distribution. Stat 6:160\u2013170","journal-title":"Stat"},{"key":"326_CR14","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/s10940-005-9003-6","volume":"22","author":"T Grubesic","year":"2006","unstructured":"Grubesic T (2006) On the application of fuzzy clustering for crime hot spot detection. J Quant Criminol 22:77\u2013105","journal-title":"J Quant Criminol"},{"key":"326_CR15","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1007\/BF00303848","volume":"2","author":"K Harries","year":"1976","unstructured":"Harries K (1976) A crime based analysis of 729 American cities. Soc Indic Res 2:467\u2013487","journal-title":"Soc Indic Res"},{"key":"326_CR16","volume-title":"Multivariate analysis, part I: distributions, ordination and inference","author":"WJ Krzanowski","year":"1994","unstructured":"Krzanowski WJ, Marriott FHC (1994) Multivariate analysis, part I: distributions, ordination and inference. Halstead Press\/Edward Arnold, New York\/London"},{"issue":"3","key":"326_CR17","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1007\/s11634-013-0132-8","volume":"7","author":"S Lee","year":"2013","unstructured":"Lee S, McLachlan GJ (2013) On mixtures of skew normal and skew $$t$$ t -distributions. Adv Data Anal Classif 7(3):241\u2013266","journal-title":"Adv Data Anal Classif"},{"issue":"2","key":"326_CR18","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/s11222-012-9362-4","volume":"24","author":"S Lee","year":"2014","unstructured":"Lee S, McLachlan GJ (2014) Finite mixtures of multivariate skew $$t$$ t -distributions: some recent and new results. Stat Comput 24(2):181\u2013202","journal-title":"Stat Comput"},{"issue":"2","key":"326_CR19","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.jmva.2008.04.010","volume":"100","author":"TI Lin","year":"2009","unstructured":"Lin TI (2009) Maximum likelihood estimation for multivariate skew normal mixture models. J Multivar Anal 100(2):257\u2013265","journal-title":"J Multivar Anal"},{"issue":"1","key":"326_CR20","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/s11222-010-9204-1","volume":"22","author":"K Lo","year":"2012","unstructured":"Lo K, Gottardo R (2012) Flexible mixture modeling via the multivariate $$t$$ t distribution with the Box\u2013Cox transformation: an alternative to the skew- $$t$$ t distribution. Stat Comput 22(1):35\u201352","journal-title":"Stat Comput"},{"issue":"1","key":"326_CR21","first-page":"37","volume":"25","author":"BFJ Manly","year":"1976","unstructured":"Manly BFJ (1976) Exponential data transformations. J R Stat Soc Ser D 25(1):37\u201342","journal-title":"J R Stat Soc Ser D"},{"key":"326_CR22","doi-asserted-by":"publisher","DOI":"10.1002\/0471721182","volume-title":"Finite mixture models","author":"GJ McLachlan","year":"2000","unstructured":"McLachlan GJ, Peel D (2000) Finite mixture models. Wiley, New York"},{"key":"326_CR23","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1002\/cjs.10047","volume":"38","author":"P McNicholas","year":"2010","unstructured":"McNicholas P, Murphy T (2010) Model-based clustering of longitudinal data. Can J Stat 38:153\u2013168","journal-title":"Can J Stat"},{"key":"326_CR24","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1002\/sam.11138","volume":"5","author":"V Melnykov","year":"2012","unstructured":"Melnykov V (2012) Efficient estimation in model-based clustering of Gaussian regression time series. Stat Anal Data Min 5:95\u201399","journal-title":"Stat Anal Data Min"},{"key":"326_CR25","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/j.csda.2014.09.016","volume":"93C","author":"V Melnykov","year":"2016","unstructured":"Melnykov V (2016) Model-based biclustering of clickstream data. Comput Stat Data Anal 93C:31\u201345","journal-title":"Comput Stat Data Anal"},{"key":"326_CR26","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1007\/s00357-016-9216-4","volume":"33","author":"S Michael","year":"2016","unstructured":"Michael S, Melnykov V (2016) Finite mixture modeling of Gaussian regression time series with application to dendrochronology. J Classif 33:412\u2013441","journal-title":"J Classif"},{"key":"326_CR27","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1111\/rssa.12076","volume":"178","author":"B Reich","year":"2015","unstructured":"Reich B, Porter M (2015) Partially-supervised spatiotemporal clustering for burglary crime series identification. J R Stat Soc A 178:465\u2013480","journal-title":"J R Stat Soc A"},{"issue":"2","key":"326_CR28","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"6","author":"G Schwarz","year":"1978","unstructured":"Schwarz G (1978) Estimating the dimensions of a model. Ann Stat 6(2):461\u2013464","journal-title":"Ann Stat"},{"key":"326_CR29","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1007\/s11222-010-9188-x","volume":"21","author":"C Viroli","year":"2011","unstructured":"Viroli C (2011a) Finite mixtures of matrix normal distributions for classifying three-way data. Stat Comput 21:511\u2013522","journal-title":"Stat Comput"},{"key":"326_CR30","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1214\/11-BA622","volume":"6","author":"C Viroli","year":"2011","unstructured":"Viroli C (2011b) Model based clustering for three-way data structures. Bayesian Anal 6:573\u2013602","journal-title":"Bayesian Anal"},{"key":"326_CR31","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1016\/j.jmva.2012.04.005","volume":"111","author":"C Viroli","year":"2012","unstructured":"Viroli C (2012) On matrix-variate regression analysis. J Multivar Anal 111:296\u2013309","journal-title":"J Multivar Anal"},{"key":"326_CR32","doi-asserted-by":"publisher","first-page":"954","DOI":"10.1093\/biomet\/87.4.954","volume":"87","author":"I-K Yeo","year":"2000","unstructured":"Yeo I-K, Johnson RA (2000) A new family of power transformations to improve normality or symmetry. Biometrika 87:954\u2013959","journal-title":"Biometrika"},{"key":"326_CR33","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1016\/j.csda.2016.01.015","volume":"121","author":"X Zhu","year":"2018","unstructured":"Zhu X, Melnykov V (2018) Manly transformation in finite mixture modeling. Comput Stat Data Anal 121:190\u2013208","journal-title":"Comput Stat Data Anal"}],"container-title":["Advances in Data Analysis and Classification"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11634-018-0326-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11634-018-0326-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11634-018-0326-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,7]],"date-time":"2024-07-07T17:50:54Z","timestamp":1720374654000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11634-018-0326-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,23]]},"references-count":33,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,3]]}},"alternative-id":["326"],"URL":"https:\/\/doi.org\/10.1007\/s11634-018-0326-1","relation":{},"ISSN":["1862-5347","1862-5355"],"issn-type":[{"value":"1862-5347","type":"print"},{"value":"1862-5355","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,23]]},"assertion":[{"value":"29 April 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 March 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 May 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 June 2018","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}