{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:23:28Z","timestamp":1740108208469,"version":"3.37.3"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:00:00Z","timestamp":1679270400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:00:00Z","timestamp":1679270400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100000038","name":"NSERC","doi-asserted-by":"crossref","award":["RGPIN-2018-06008"],"award-info":[{"award-number":["RGPIN-2018-06008"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Comput Stat"],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1007\/s00180-023-01340-w","type":"journal-article","created":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T09:03:13Z","timestamp":1679302993000},"page":"1193-1213","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Unsupervised learning on U.S. weather forecast performance"],"prefix":"10.1007","volume":"38","author":[{"given":"Chuyuan","family":"Lin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucas Y.","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7417-6330","authenticated-orcid":false,"given":"Jiguo","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,3,20]]},"reference":[{"issue":"3","key":"1340_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 PA, Matzner-L\u00f8ber E, Molinari N (2003) Unsupervised curve clustering using b-splines. Scandinavian J stat 30(3):581\u2013595","journal-title":"Scandinavian J stat"},{"key":"1340_CR2","volume-title":"Sobolev spaces","author":"RA Adams","year":"2003","unstructured":"Adams RA, Fournier JJ (2003) Sobolev spaces, vol 140. Elsevier, Atlanta"},{"issue":"6272","key":"1340_CR3","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1038\/345219a0","volume":"345","author":"RM Adams","year":"1990","unstructured":"Adams RM, Rosenzweig C, Peart RM, Ritchie JT, McCarl BA, Glyer JD, Curry RB, Jones JW, Boote KJ, Allen LH Jr (1990) Global climate change and us agriculture. Nature 345(6272):219\u2013224","journal-title":"Nature"},{"issue":"6","key":"1340_CR4","first-page":"494","volume":"8","author":"G Adelfio","year":"2011","unstructured":"Adelfio G, Chiodi M, D\u2019Alessandro A, Luzio D (2011) FPCA algorithm for waveform clustering. J Commun Comput 8(6):494\u2013502","journal-title":"J Commun Comput"},{"issue":"7567","key":"1340_CR5","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1038\/nature14956","volume":"525","author":"P Bauer","year":"2015","unstructured":"Bauer P, Thorpe A, Brunet G (2015) The quiet revolution of numerical weather prediction. Nature 525(7567):47\u201355","journal-title":"Nature"},{"issue":"4","key":"1340_CR6","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1111\/1467-9469.00215","volume":"27","author":"PC Besse","year":"2000","unstructured":"Besse PC, Cardot H, Stephenson DB (2000) Autoregressive forecasting of some functional climatic variations. Scandinavian J Stat 27(4):673\u2013687","journal-title":"Scandinavian J Stat"},{"issue":"7","key":"1340_CR7","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1109\/34.865189","volume":"22","author":"C Biernacki","year":"2000","unstructured":"Biernacki C, Celeux G, Govaert G (2000) Assessing a mixture model for clustering with the integrated completed likelihood. IEEE Transact Pattern Anal Mach Intell 22(7):719\u2013725","journal-title":"IEEE Transact Pattern Anal Mach Intell"},{"key":"1340_CR8","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4684-0489-0","volume-title":"Nonparametric statistics for stochastic processes: estimation and prediction","author":"D Bosq","year":"1996","unstructured":"Bosq D (1996) Nonparametric statistics for stochastic processes: estimation and prediction, vol 110. Springer-Verlag, New York"},{"key":"1340_CR9","unstructured":"Bouveyron C (2015) funFEM: Clustering in the Discriminative Functional Subspace. https:\/\/CRAN.R-project.org\/package=funFEM, r package version 1.1"},{"issue":"4","key":"1340_CR10","doi-asserted-by":"publisher","first-page":"1726","DOI":"10.1214\/15-AOAS861","volume":"9","author":"C Bouveyron","year":"2015","unstructured":"Bouveyron C, C\u00f4me E, Jacques J (2015) The discriminative functional mixture model for a comparative analysis of bike sharing systems. The Annals Appl Stat 9(4):1726\u20131760","journal-title":"The Annals Appl Stat"},{"key":"1340_CR11","volume-title":"Time series analysis: forecasting and control","author":"GE Box","year":"2015","unstructured":"Box GE, Jenkins GM, Reinsel GC, Ljung GM (2015) Time series analysis: forecasting and control, 5th edn. John Wiley & Sons, Hoboken, New Jersey","edition":"5"},{"key":"1340_CR12","unstructured":"Charrad M, Ghazzali N, Boiteau V, Niknafs A (2012) NbClust package: finding the relevant number of clusters in a dataset. UseR! 2012"},{"issue":"6","key":"1340_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v061.i06","volume":"61","author":"M Charrad","year":"2014","unstructured":"Charrad M, Ghazzali N, Boiteau V, Niknafs A (2014) NbClust: an R package for determining the relevant number of clusters in a data set. J Stat Soft 61(6):1\u201336","journal-title":"J Stat Soft"},{"key":"1340_CR14","doi-asserted-by":"crossref","unstructured":"Collomb G (1983) From non parametric regression to non parametric prediction: Survey of the mean square error and original results on the predictogram. In: Specifying statistical models, Springer, pp 182\u2013204","DOI":"10.1007\/978-1-4612-5503-1_12"},{"issue":"1","key":"1340_CR15","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/BF02788653","volume":"17","author":"HB Curry","year":"1966","unstructured":"Curry HB, Schoenberg IJ (1966) On P\u00f3lya frequency functions IV: the fundamental spline functions and their limits. J d\u2019analyse math\u00e9matique 17(1):71\u2013107","journal-title":"J d\u2019analyse math\u00e9matique"},{"issue":"7","key":"1340_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/gb-2002-3-7-research0036","volume":"3","author":"S Dudoit","year":"2002","unstructured":"Dudoit S, Fridlyand J (2002) A prediction-based resampling method for estimating the number of clusters in a dataset. Genome Biol 3(7):1\u201321","journal-title":"Genome Biol"},{"key":"1340_CR17","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-3686-3","volume-title":"Nonparametric curve estimation from time series","author":"L Gy\u00f6rfi","year":"1989","unstructured":"Gy\u00f6rfi L, H\u00e4rdle W, Sarda P, Vieu P (1989) Nonparametric curve estimation from time series, vol 60. Springer-Verlag, New York"},{"issue":"1","key":"1340_CR18","first-page":"100","volume":"28","author":"JA Hartigan","year":"1979","unstructured":"Hartigan JA, Wong MA (1979) Algorithm as 136: A $$k$$-means clustering algorithm. J Royal Stat Soc Series C (Appl Stat) 28(1):100\u2013108","journal-title":"J Royal Stat Soc Series C (Appl Stat)"},{"key":"1340_CR19","unstructured":"Hornik K (2019) clue: Cluster ensembles. https:\/\/CRAN.R-project.org\/package=clue, r package version 0.3-57"},{"issue":"3","key":"1340_CR20","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 Data Anal Classificat 8(3):231\u2013255. https:\/\/doi.org\/10.1007\/s11634-013-0158-y","journal-title":"Adv Data Anal Classificat"},{"issue":"462","key":"1340_CR21","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1198\/016214503000189","volume":"98","author":"GM James","year":"2003","unstructured":"James GM, Sugar CA (2003) Clustering for sparsely sampled functional data. J Am Stat Associat 98(462):397\u2013408","journal-title":"J Am Stat Associat"},{"issue":"3","key":"1340_CR22","doi-asserted-by":"publisher","first-page":"1193","DOI":"10.1214\/15-AOS1403","volume":"44","author":"Y Ke","year":"2016","unstructured":"Ke Y, Li J, Zhang W et al (2016) Structure identification in panel data analysis. The Annals Stat 44(3):1193\u20131233","journal-title":"The Annals Stat"},{"issue":"6","key":"1340_CR23","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1175\/2008BAMS2604.1","volume":"90","author":"JK Lazo","year":"2009","unstructured":"Lazo JK, Morss RE, Demuth JL (2009) 300 billion served: Sources, perceptions, uses, and values of weather forecasts. Bullet Am Meteorol Soc 90(6):785\u2013798","journal-title":"Bullet Am Meteorol Soc"},{"key":"1340_CR24","doi-asserted-by":"crossref","unstructured":"Li J, Yue M, Zhang W (2019) Subgroup identification via homogeneity pursuit for dense longitudinal\/spatial data. Stat Med","DOI":"10.1002\/sim.8192"},{"issue":"6","key":"1340_CR25","doi-asserted-by":"publisher","first-page":"357","DOI":"10.5194\/npg-8-357-2001","volume":"8","author":"D Orrell","year":"2001","unstructured":"Orrell D, Smith L, Barkmeijer J, Palmer T (2001) Model error in weather forecasting. Nonlinear Process Geophys 8(6):357\u2013371","journal-title":"Nonlinear Process Geophys"},{"key":"1340_CR26","volume-title":"Combinatorial optimization: algorithms and complexity","author":"CH Papadimitrou","year":"1982","unstructured":"Papadimitrou CH, Steiglitz K (1982) Combinatorial optimization: algorithms and complexity. Prentice-Hall, New York"},{"issue":"1","key":"1340_CR27","doi-asserted-by":"publisher","first-page":"55","DOI":"10.7763\/IJCTE.2009.V1.9","volume":"1","author":"Y Radhika","year":"2009","unstructured":"Radhika Y, Shashi M (2009) Atmospheric temperature prediction using support vector machines. Int J Comput Theory Eng 1(1):55\u201359","journal-title":"Int J Comput Theory Eng"},{"key":"1340_CR28","doi-asserted-by":"publisher","DOI":"10.1007\/b98888","volume-title":"Functional data anal","author":"J Ramsay","year":"2005","unstructured":"Ramsay J, Silverman B (2005) Functional data anal, 2nd edn. Springer, New York","edition":"2"},{"key":"1340_CR29","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-98185-7","volume-title":"Functional data analysis with R and MATLAB","author":"J Ramsay","year":"2009","unstructured":"Ramsay J, Hooker G, Graves S (2009) Functional data analysis with R and MATLAB. Springer, New York"},{"key":"1340_CR30","unstructured":"Ramsay JO, Wickham H, Graves S, Hooker G (2018) fda: Functional Data Analysis. https:\/\/CRAN.R-project.org\/package=fda, r package version 2.4.8"},{"issue":"1","key":"1340_CR31","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1111\/j.2517-6161.1991.tb01821.x","volume":"53","author":"JA Rice","year":"1991","unstructured":"Rice JA, Silverman BW (1991) Estimating the mean and covariance structure nonparametrically when the data are curves. J Royal Stat Soc: Series B (Methodol) 53(1):233\u2013243","journal-title":"J Royal Stat Soc: Series B (Methodol)"},{"key":"1340_CR32","unstructured":"Schmutz A, Jacques J, Bouveyron C, Cheze L, Martin P (2018) Clustering multivariate functional data in group-specific functional subspaces, https:\/\/hal.inria.fr\/hal-01652467, preprint"},{"issue":"2","key":"1340_CR33","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 dimension of a model. The Annals Stat 6(2):461\u2013464","journal-title":"The Annals Stat"},{"issue":"1","key":"1340_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1214\/aos\/1033066196","volume":"24","author":"BW Silverman","year":"1996","unstructured":"Silverman BW (1996) Smoothed functional principal components analysis by choice of norm. The Annals Stat 24(1):1\u201324","journal-title":"The Annals Stat"}],"container-title":["Computational Statistics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00180-023-01340-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00180-023-01340-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00180-023-01340-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T17:32:13Z","timestamp":1729099933000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00180-023-01340-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,20]]},"references-count":34,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,9]]}},"alternative-id":["1340"],"URL":"https:\/\/doi.org\/10.1007\/s00180-023-01340-w","relation":{},"ISSN":["0943-4062","1613-9658"],"issn-type":[{"type":"print","value":"0943-4062"},{"type":"electronic","value":"1613-9658"}],"subject":[],"published":{"date-parts":[[2023,3,20]]},"assertion":[{"value":"27 April 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 February 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 March 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}