{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:52:12Z","timestamp":1778604732392,"version":"3.51.4"},"reference-count":67,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T00:00:00Z","timestamp":1731715200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T00:00:00Z","timestamp":1731715200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100004497","name":"Onderzoeksraad, KU Leuven","doi-asserted-by":"publisher","award":["C16\/20\/002"],"award-info":[{"award-number":["C16\/20\/002"]}],"id":[{"id":"10.13039\/501100004497","id-type":"DOI","asserted-by":"publisher"}]},{"name":"INdAM - GNCS","award":["CUP E53C22001930001"],"award-info":[{"award-number":["CUP E53C22001930001"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Adv Data Anal Classif"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1007\/s11634-024-00612-7","type":"journal-article","created":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T02:44:09Z","timestamp":1731725049000},"page":"1051-1085","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Unsupervised curve clustering using wavelets"],"prefix":"10.1007","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1482-4898","authenticated-orcid":false,"given":"Umberto","family":"Amato","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0466-5646","authenticated-orcid":false,"given":"Anestis","family":"Antoniadis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3694-8202","authenticated-orcid":false,"given":"Italia","family":"De Feis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4443-9803","authenticated-orcid":false,"given":"Ir\u00e8ne","family":"Gijbels","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,16]]},"reference":[{"issue":"3","key":"612_CR1","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1111\/1467-9469.00350","volume":"30","author":"C Abraham","year":"2003","unstructured":"Abraham C, Cornillon P-A, Matzner-Lober E, Molinari N (2003) Unsupervised curve clustering using B-splines. Scandinavian J. Statist. 30(3):581\u2013595","journal-title":"Scandinavian J. Statist."},{"key":"612_CR2","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1016\/j.csda.2004.12.007","volume":"50","author":"U Amato","year":"2006","unstructured":"Amato U, Antoniadis A, De Feis I (2006) Dimension reduction in functional regression with applications. Computational Statist. and Data Analysis 50:422\u20132446","journal-title":"Computational Statist. and Data Analysis"},{"issue":"4","key":"612_CR3","doi-asserted-by":"publisher","first-page":"1621","DOI":"10.1007\/s00180-021-01174-4","volume":"37","author":"U Amato","year":"2022","unstructured":"Amato U, Antoniadis A, De Feis I, Gijbels I (2022) Penalized wavelet estimation and robust denoising for irregular spaced data. Computational Statist. 37(4):1621\u20131651","journal-title":"Computational Statist."},{"key":"612_CR4","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1214\/07-SS014","volume":"1","author":"A Antoniadis","year":"2007","unstructured":"Antoniadis A (2007) Wavelet methods in statistics: some recent developments and their applications. Statistics Surveys 1:16\u201355","journal-title":"Statistics Surveys"},{"key":"612_CR5","doi-asserted-by":"crossref","unstructured":"Antoniadis A, Brossat X, Cugliari J, Poggi J-M (2013) Clustering functional data using wavelets. Int J Wavelets Multiresolut Inf Process. 11(01)","DOI":"10.1142\/S0219691313500033"},{"issue":"455","key":"612_CR6","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1198\/016214501753208942","volume":"96","author":"A Antoniadis","year":"2001","unstructured":"Antoniadis A, Fan J (2001) Regularization of wavelet approximations. J. the American Statist. Association 96(455):939\u2013955","journal-title":"J. the American Statist. Association"},{"issue":"5","key":"612_CR7","doi-asserted-by":"publisher","first-page":"2055","DOI":"10.1214\/15-AOS1337","volume":"43","author":"RF Barber","year":"2015","unstructured":"Barber RF, Cand\u00e8s EJ (2015) Controlling the false discovery rate via knockoffs. The Annals of Statist. 43(5):2055\u20132085","journal-title":"The Annals of Statist."},{"issue":"4","key":"612_CR8","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1093\/biomet\/asr043","volume":"98","author":"A Belloni","year":"2011","unstructured":"Belloni A, Chernozhukov V, Wang L (2011) Square-root lasso: pivotal recovery of sparse signals via conic programming. Biometrika 98(4):791\u2013806","journal-title":"Biometrika"},{"issue":"1","key":"612_CR9","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Y Benjamini","year":"1995","unstructured":"Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. the Royal Statist. Society: Series B 57(1):289\u2013300","journal-title":"J. the Royal Statist. Society: Series B"},{"key":"612_CR10","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1007\/s100970100031","volume":"3","author":"L Birg\u00e9","year":"2001","unstructured":"Birg\u00e9 L, Massart P (2001) Gaussian model selection. J. the European Mathematical Society 3:203\u2013268","journal-title":"J. the European Mathematical Society"},{"issue":"6","key":"612_CR11","doi-asserted-by":"publisher","first-page":"2384","DOI":"10.1214\/aos\/1032181159","volume":"24","author":"D Brown","year":"1996","unstructured":"Brown D, Low M (1996) Asymptotic equivalence of nonparametric regression and white noise. The Annals of Statist. 24(6):2384\u20132398","journal-title":"The Annals of Statist."},{"key":"612_CR12","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1214\/07-EJS008","volume":"1","author":"F Bunea","year":"2007","unstructured":"Bunea F, Tsybakov A, Wegkamp M (2007) Sparsity oracle inequalities for the lasso. Electronic J. Statist. 1:169\u2013194","journal-title":"Electronic J. Statist."},{"issue":"5","key":"612_CR13","first-page":"1783","volume":"26","author":"T Cai","year":"1998","unstructured":"Cai T, Brown L (1998) Wavelet shrinkage for nonequispaced samples. The Annals of Statist. 26(5):1783\u20131799","journal-title":"The Annals of Statist."},{"issue":"3","key":"612_CR14","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1016\/S0167-7152(98)00223-5","volume":"42","author":"T Cai","year":"1999","unstructured":"Cai T, Brown L (1999) Wavelet estimation for samples with random uniform design. Statist. & Probability Letters 42(3):313\u2013321","journal-title":"Statist. & Probability Letters"},{"issue":"3","key":"612_CR15","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1111\/rssb.12265","volume":"80","author":"E Cand\u00e8s","year":"2018","unstructured":"Cand\u00e8s E, Fan Y, Janson L, Lv J (2018) Planning for gold: model-X knockoffs for high dimensional controlled variable selection. J. the Royal Statist. Society: Series B 80(3):551\u2013577","journal-title":"J. the Royal Statist. Society: Series B"},{"key":"612_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/widm.1298","volume":"9","author":"F Chamroukhi","year":"2019","unstructured":"Chamroukhi F, Nguyen H (2019) Model-based clustering and classification of functional data. Wiley Interdisciplinary Reviews, Data Mining and Knowledge Discovery 9:1\u201336","journal-title":"Wiley Interdisciplinary Reviews, Data Mining and Knowledge Discovery"},{"key":"612_CR17","doi-asserted-by":"crossref","unstructured":"Charrad M, Ghazzali N, Boiteau V, Niknafs A (2014) Nbclust package: finding the relevant number of clusters in a dataset. J. Statis. Soft. 1(6)","DOI":"10.18637\/jss.v061.i06"},{"issue":"1","key":"612_CR18","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1137\/S1064827596304010","volume":"20","author":"S Chen","year":"1998","unstructured":"Chen S, Donoho D, Saunders M (1998) Atomic decomposition by basis pursuit. SIAM J. Scientific Comput. 20(1):33\u201361","journal-title":"SIAM J. Scientific Comput."},{"issue":"10","key":"612_CR19","doi-asserted-by":"publisher","first-page":"4864","DOI":"10.1016\/j.csda.2006.07.011","volume":"51","author":"J Cuesta-Albertos","year":"2007","unstructured":"Cuesta-Albertos J, Fraiman R (2007) Impartial trimmed k-means for functional data. Computational Statist. and Data Analysis 51(10):4864\u20134877","journal-title":"Computational Statist. and Data Analysis"},{"issue":"543","key":"612_CR20","doi-asserted-by":"publisher","first-page":"1551","DOI":"10.1080\/01621459.2023.2165930","volume":"118","author":"C Dai","year":"2023","unstructured":"Dai C, Lin B, Xing X, Liu JS (2023) A scale-free approach for false discovery rate control in generalized linear models. J. the American Statist. Association 118(543):1551\u20131565","journal-title":"J. the American Statist. Association"},{"issue":"544","key":"612_CR21","doi-asserted-by":"publisher","first-page":"2503","DOI":"10.1080\/01621459.2022.2060113","volume":"118","author":"C Dai","year":"2023","unstructured":"Dai C, Lin B, Xing X, Liu JS (2023) False discovery rate control via data splitting. J. the American Statist. Association 118(544):2503\u20132520","journal-title":"J. the American Statist. Association"},{"issue":"432","key":"612_CR22","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1080\/01621459.1995.10476626","volume":"90","author":"D Donoho","year":"1995","unstructured":"Donoho D, Johnstone I (1995) Adapting to unknown smoothness via wavelet shrinkage. J. the American Statist. Association 90(432):1200\u20131224","journal-title":"J. the American Statist. Association"},{"issue":"2","key":"612_CR23","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1111\/j.2517-6161.1995.tb02032.x","volume":"57","author":"D Donoho","year":"1995","unstructured":"Donoho D, Johnstone I, Kerkyacharian G, Picard D (1995) Wavelet shrinkage: Asymptopia? J. the Royal Statist. Society: Series B 57(2):301\u2013337","journal-title":"J. the Royal Statist. Society: Series B"},{"issue":"456","key":"612_CR24","doi-asserted-by":"publisher","first-page":"1348","DOI":"10.1198\/016214501753382273","volume":"96","author":"J Fan","year":"2001","unstructured":"Fan J, Li R (2001) Variable selection via nonconcave penalized likelihood and its oracle properties. J. the American Statist. Association 96(456):1348\u20131360","journal-title":"J. the American Statist. Association"},{"issue":"3","key":"612_CR25","doi-asserted-by":"publisher","first-page":"928","DOI":"10.1214\/009053604000000256","volume":"32","author":"J Fan","year":"2004","unstructured":"Fan J, Peng H (2004) Nonconcave penalized likelihood with a diverging number of parameters. The Annals of Statist. 32(3):928\u2013961","journal-title":"The Annals of Statist."},{"key":"612_CR26","volume-title":"Nonparametric Functional Data Analysis: Theory and Practice","author":"F Ferraty","year":"2006","unstructured":"Ferraty F, Vieu P (2006) Nonparametric Functional Data Analysis: Theory and Practice. Springer-Verlag, New York"},{"key":"612_CR27","first-page":"171","volume":"11","author":"T Gasser","year":"1984","unstructured":"Gasser T, M\u00fcller H (1984) Estimating regression functions and their derivatives by the kernel method. Scandinavian J Statistics 11:171\u2013185","journal-title":"Scandinavian J Statistics"},{"issue":"1","key":"612_CR28","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1111\/j.1541-0420.2012.01828.x","volume":"69","author":"M Giacofci","year":"2013","unstructured":"Giacofci M, Lambert-Lacroix S, Marot G, Picard F (2013) Wavelet-based clustering for mixed-effects functional models in high dimension. Biometrics 69(1):31\u201340","journal-title":"Biometrics"},{"issue":"5\/6","key":"612_CR29","doi-asserted-by":"publisher","first-page":"561","DOI":"10.5194\/npg-11-561-2004","volume":"11","author":"A Grinsted","year":"2004","unstructured":"Grinsted A, Moore J, Jevrejeva S (2004) Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Processes in Geophysics 11(5\/6):561\u2013566","journal-title":"Nonlinear Processes in Geophysics"},{"key":"612_CR30","doi-asserted-by":"publisher","first-page":"726","DOI":"10.1214\/07-AOS589","volume":"37","author":"T Hsing","year":"2009","unstructured":"Hsing T, Ren H (2009) An rkhs formulation of the inverse regression dimension reduction problem. Ann. Statist. 37:726\u2013755","journal-title":"Ann. Statist."},{"issue":"1","key":"612_CR31","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/BF01908075","volume":"2","author":"L Hubert","year":"1985","unstructured":"Hubert L, Arabie P (1985) Comparing partitions. J. Classification 2(1):193\u2013218","journal-title":"J. Classification"},{"key":"612_CR32","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1051\/ps:2006004","volume":"10","author":"S Huet","year":"2006","unstructured":"Huet S (2006) Model selection for estimating the non zero components of a Gaussian vector. ESAIM: Probability and Statist. 10:164\u2013183","journal-title":"ESAIM: Probability and Statist."},{"issue":"3","key":"612_CR33","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/s11634-013-0158-y","volume":"8","author":"J Jacques","year":"2014","unstructured":"Jacques J, Preda C (2014) Functional data clustering: a survey. Adv in Data Analysis and Classification 8(3):231\u2013255","journal-title":"Adv in Data Analysis and Classification"},{"issue":"462","key":"612_CR34","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1198\/016214503000189","volume":"98","author":"G James","year":"2003","unstructured":"James G, Sugar C (2003) Clustering for sparsely sampled functional data. J. the American Statist. Association 98(462):397\u2013409","journal-title":"J. the American Statist. Association"},{"key":"612_CR35","doi-asserted-by":"publisher","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 (1990) Finding Groups in Data: an introduction to cluster analysis. Wiley"},{"issue":"449","key":"612_CR36","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1080\/01621459.2000.10473912","volume":"95","author":"A Kovac","year":"2000","unstructured":"Kovac A, Silverman B (2000) Extending the scope of wavelet regression methods by coefficient-dependent thresholding. J . the American Statist. Association 95(449):172\u2013183","journal-title":"J . the American Statist. Association"},{"key":"612_CR37","doi-asserted-by":"publisher","first-page":"1080","DOI":"10.1016\/j.patcog.2021.108096","volume":"119","author":"Y Lim","year":"2021","unstructured":"Lim Y, Kwon J, Oh H-S (2021) Principal component analysis in the wavelet domain. Pattern Recognition 119:1080\u20131096","journal-title":"Pattern Recognition"},{"key":"612_CR38","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1093\/bioinformatics\/btg014","volume":"19","author":"Y Luan","year":"2003","unstructured":"Luan Y, Li H (2003) Clustering of time-course gene expression data using a mixed-effects model with B-splines. Bioinformatics 19:474\u2013482","journal-title":"Bioinformatics"},{"key":"612_CR39","volume-title":"A Wavelet Tour of Signal Processing","author":"S Mallat","year":"2009","unstructured":"Mallat S (2009) A Wavelet Tour of Signal Processing. Elsevier"},{"key":"612_CR40","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1207\/s15327906mbr2104_5","volume":"21","author":"GW Milligan","year":"1986","unstructured":"Milligan GW, Cooper MC (1986) A study of the comparability of external criteria for hierarchical cluster analysis. Multivariate Behavioral Res 21:441\u2013458","journal-title":"Multivariate Behavioral Res"},{"issue":"6","key":"612_CR41","first-page":"2339","volume":"26","author":"A Munk","year":"1998","unstructured":"Munk A, Dette H (1998) Nonparametric comparison of several regression functions: exact and asymtotic theory. The Annals of Statist. 26(6):2339\u20132368","journal-title":"The Annals of Statist."},{"issue":"4","key":"612_CR42","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1023\/A:1014640632666","volume":"53","author":"M Pensky","year":"2001","unstructured":"Pensky M, Vidakovic B (2001) On non-equally spaced wavelet regression. Annals of the Institute of Statist. Mathematics 53(4):681\u2013690","journal-title":"Annals of the Institute of Statist. Mathematics"},{"key":"612_CR43","first-page":"135","volume":"1","author":"D Pollard","year":"1982","unstructured":"Pollard D (1982) Strong consistency of k-means clustering. The Annals of Statist. 1:135\u2013140","journal-title":"The Annals of Statist."},{"key":"612_CR44","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-7107-7","volume-title":"Functional Data Analysis","author":"J Ramsay","year":"1997","unstructured":"Ramsay J, Silverman B (1997) Functional Data Analysis. Springer-Verlag, New York"},{"key":"612_CR45","volume-title":"Applied Functional Data Analysis","author":"J Ramsay","year":"2002","unstructured":"Ramsay J, Silverman B (2002) Applied Functional Data Analysis. Springer-Verlag, New York"},{"key":"612_CR46","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1080\/01621459.1971.10482356","volume":"66","author":"WM Rand","year":"1971","unstructured":"Rand WM (1971) Objective criteria for the evaluation of clustering methods. J the American Statist. Association 66:846\u2013850","journal-title":"J the American Statist. Association"},{"issue":"78","key":"612_CR47","first-page":"2241","volume":"11","author":"G Raskutti","year":"2010","unstructured":"Raskutti G, Wainwright M, Yu B (2010) Restricted eigenvalue properties for correlated Gaussian designs. J Machine Learning Res 11(78):2241\u20132259","journal-title":"J Machine Learning Res"},{"key":"612_CR48","doi-asserted-by":"publisher","first-page":"2057","DOI":"10.1214\/aoms\/1177696705","volume":"41","author":"J Sacks","year":"1970","unstructured":"Sacks J, Ylvisaker D (1970) Designs for regression problems with correlated errors. iii. Ann. Math. Statist. 41:2057\u20132074","journal-title":"Ann. Math. Statist."},{"issue":"1","key":"612_CR49","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1023\/A:1008818328241","volume":"9","author":"S Sardy","year":"1999","unstructured":"Sardy S, Percival DB, Bruce AG, Gao H-Y, Stuetzle W (1999) Wavelet shrinkage for unequally spaced data. Statist. Computing 9(1):65\u201375","journal-title":"Statist. Computing"},{"issue":"1","key":"612_CR50","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1214\/aos\/1015362192","volume":"30","author":"SK Sarkar","year":"2002","unstructured":"Sarkar SK (2002) Some results on false discovery rate in stepwise multiple testing procedures. The Annals of Statist. 30(1):239\u2013257","journal-title":"The Annals of Statist."},{"issue":"471","key":"612_CR51","doi-asserted-by":"publisher","first-page":"990","DOI":"10.1198\/016214504000001574","volume":"100","author":"N Serban","year":"2004","unstructured":"Serban N, Wasserman L (2004) CATS: clustering after transformation and smoothing. J .the American Statist. Association 100(471):990\u2013999","journal-title":"J .the American Statist. Association"},{"issue":"1","key":"612_CR52","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1111\/j.1467-9868.2004.00439.x","volume":"66","author":"JD Storey","year":"2004","unstructured":"Storey JD, Taylor JE, Siegmund D (2004) Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach. J. the Royal Statist Society: Series B 66(1):187\u2013205","journal-title":"J. the Royal Statist Society: Series B"},{"issue":"1","key":"612_CR53","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1198\/000313007X171016","volume":"61","author":"T Tarpey","year":"2007","unstructured":"Tarpey T (2007) Linear transformations and the k-means clustering algorithm. The American Statist. 61(1):34\u201340","journal-title":"The American Statist."},{"issue":"1","key":"612_CR54","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/s00357-003-0007-3","volume":"20","author":"T Tarpey","year":"2003","unstructured":"Tarpey T, Kinateder K (2003) Clustering functional data. J. Classification 20(1):93\u2013114","journal-title":"J. Classification"},{"issue":"1","key":"612_CR55","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R Tibshirani","year":"1996","unstructured":"Tibshirani R (1996) Regression shrinkage and selection via the Lasso. J. the Royal Statistical Society: Series B 58(1):267\u2013288","journal-title":"J. the Royal Statistical Society: Series B"},{"issue":"2","key":"612_CR56","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1111\/1467-9868.00293","volume":"63","author":"R Tibshirani","year":"2001","unstructured":"Tibshirani R, Walther G, Hastie T (2001) Estimating the number of clusters in a data set via the gap statistic. J. the Royal Statistical Society. Series B 63(2):411\u2013423","journal-title":"J. the Royal Statistical Society. Series B"},{"issue":"5","key":"612_CR57","first-page":"1912","volume":"25","author":"B Turlach","year":"1997","unstructured":"Turlach B, Hall P (1997) Interpolation methods for nonlinear wavelet regression with irregularly spaced design. The Annals of Statist. 25(5):1912\u20131925","journal-title":"The Annals of Statist."},{"issue":"5","key":"612_CR58","doi-asserted-by":"publisher","first-page":"2183","DOI":"10.1109\/TIT.2009.2016018","volume":"55","author":"M Wainwright","year":"2009","unstructured":"Wainwright M (2009) Sharp thresholds for high-dimensional and noisy sparsity recovery using-constrained quadratic programming (lasso). IEEE Transactions on Information Theory 55(5):2183\u20132202","journal-title":"IEEE Transactions on Information Theory"},{"key":"612_CR59","doi-asserted-by":"publisher","first-page":"1654","DOI":"10.1214\/11-EJS652","volume":"5","author":"M Wand","year":"2011","unstructured":"Wand M, Ormerod J (2011) Penalized wavelets: Embedding wavelets into semiparametric regression. Electronic J. Statist. 5:1654\u20131717","journal-title":"Electronic J. Statist."},{"key":"612_CR60","doi-asserted-by":"publisher","first-page":"47","DOI":"10.4310\/SII.2008.v1.n1.a5","volume":"1","author":"H Wang","year":"2008","unstructured":"Wang H, Neill JW, Miller FR (2008) Nonparametric clustering of functional data. Statist. Its Interface 1:47\u201362","journal-title":"Statist. Its Interface"},{"issue":"541","key":"612_CR61","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1080\/01621459.2021.1923510","volume":"11","author":"X Xing","year":"2023","unstructured":"Xing X, Zhao Z, Liu JS (2023) Controlling false discovery rate using Gaussian mirrors. J. the American Statist Association 11(541):222\u2013241","journal-title":"J. the American Statist Association"},{"issue":"4","key":"612_CR62","doi-asserted-by":"publisher","first-page":"1031","DOI":"10.1111\/j.1541-0420.2007.00784.x","volume":"63","author":"M Yan","year":"2007","unstructured":"Yan M, Ye K (2007) Determining the number of clusters using the weighted gap statistic. Biometrics 63(4):1031\u20131037","journal-title":"Biometrics"},{"issue":"2","key":"612_CR63","doi-asserted-by":"publisher","first-page":"894","DOI":"10.1214\/09-AOS729","volume":"38","author":"CH Zhang","year":"2010","unstructured":"Zhang CH (2010) Nearly unbiased variable selection under minimax concave penalty. The Annals of Statist. 38(2):894\u2013942","journal-title":"The Annals of Statist."},{"issue":"7","key":"612_CR64","first-page":"1","volume":"17","author":"M Zhang","year":"2023","unstructured":"Zhang M, Parnell A (2023) Review of clustering methods for functional data. ACM Trans. Knowl. Discov. Data 17(7):1\u201334","journal-title":"ACM Trans. Knowl. Discov. Data"},{"issue":"35","key":"612_CR65","first-page":"1081","volume":"11","author":"T Zhang","year":"2010","unstructured":"Zhang T (2010) Analysis of multi-stage convex relaxation for sparse regularization. J. Machine Learning Res 11(35):1081\u20131107","journal-title":"J. Machine Learning Res"},{"key":"612_CR66","first-page":"2541","volume":"7","author":"P Zhao","year":"2006","unstructured":"Zhao P, Yu B (2006) On model selection consistency of lasso. J. Machine Learning Research 7:2541\u20132563","journal-title":"J. Machine Learning Research"},{"issue":"476","key":"612_CR67","doi-asserted-by":"publisher","first-page":"1418","DOI":"10.1198\/016214506000000735","volume":"101","author":"H Zou","year":"2006","unstructured":"Zou H (2006) The adaptive lasso and its oracle properties. J. the American Statistical Association 101(476):1418\u20131429","journal-title":"J. the American Statistical Association"}],"container-title":["Advances in Data Analysis and Classification"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11634-024-00612-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11634-024-00612-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11634-024-00612-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T14:43:55Z","timestamp":1764341035000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11634-024-00612-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,16]]},"references-count":67,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,12]]}},"alternative-id":["612"],"URL":"https:\/\/doi.org\/10.1007\/s11634-024-00612-7","relation":{},"ISSN":["1862-5347","1862-5355"],"issn-type":[{"value":"1862-5347","type":"print"},{"value":"1862-5355","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,16]]},"assertion":[{"value":"9 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 October 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 October 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 November 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no Conflict of interest to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}