Suchergebnisse - Functional data analysis Curve alignment Curve clustering k-mean algorithm

  • Treffer 1 - 11 von 11
Treffer weiter einschränken
  1. 1

    Probabilistic K-means with Local Alignment for Clustering and Motif Discovery in Functional Data von Cremona, Marzia A., Chiaromonte, Francesca

    ISSN: 1061-8600, 1537-2715
    Veröffentlicht: Alexandria Taylor & Francis 03.07.2023
    Veröffentlicht in Journal of computational and graphical statistics (03.07.2023)
    “… In order to identify these shared curve portions, our method leverages ideas from functional data analysis …”
    Volltext
    Journal Article
  2. 2

    Probabilistic \(K\)-mean with local alignment for clustering and motif discovery in functional data von Cremona, Marzia A, Chiaromonte, Francesca

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 07.07.2020
    Veröffentlicht in arXiv.org (07.07.2020)
    “… In order to identify these shared curve portions, our method leverages ideas from functional data analysis …”
    Volltext
    Paper
  3. 3

    Visualizing, clustering, and characterizing activity-trip sequences via weighted sequence alignment and functional data analysis von Song, Ying, Ren, Siyang, Wolfson, Julian, Zhang, Yaxuan, Brown, Roland, Fan, Yingling

    ISSN: 0968-090X, 1879-2359
    Veröffentlicht: Elsevier Ltd 01.05.2021
    “… •Conduct sensitivity analysis of sample interval and weighting schemas.•Summarize and compare activity-travel patterns through functional data analysis …”
    Volltext
    Journal Article
  4. 4

    K-means clustering of item characteristic curves and item information curves via functional principal component analysis von Fortuna, Francesca, Maturo, Fabrizio

    ISSN: 0033-5177, 1573-7845
    Veröffentlicht: Dordrecht Springer Netherlands 15.09.2019
    Veröffentlicht in Quality & quantity (15.09.2019)
    “… Nevertheless, tests assessment through IRT models and the related clustering algorithms generally focus on the analysis of item parameters …”
    Volltext
    Journal Article
  5. 5

    Functional Data Analysis in Sport Science: Example of Swimmers’ Progression Curves Clustering von Leroy, Arthur, MARC, Andy, DUPAS, Olivier, REY, Jean Lionel, Gey, Servane

    ISSN: 2076-3417, 2076-3417
    Veröffentlicht: Basel MDPI AG 01.10.2018
    Veröffentlicht in Applied sciences (01.10.2018)
    “… ) or functional clustering algorithms are presented and compared on simulated data. Finally, the problem of the detection of promising young swimmers is addressed through a curve clustering procedure on a real data set of performance progression curves …”
    Volltext
    Journal Article
  6. 6
  7. 7

    An introduction to functional data analysis and a principal component approach for testing the equality of mean curves von Horváth, Lajos, Rice, Gregory

    ISSN: 1139-1138, 1988-2807
    Veröffentlicht: Milan Springer Milan 01.09.2015
    Veröffentlicht in Revista matemática complutense (01.09.2015)
    “… We give an introduction to functional data analysis, with examples, and provide a brief review of the literature …”
    Volltext
    Journal Article
  8. 8

    k -mean alignment for curve clustering von Sangalli, Laura M., Secchi, Piercesare, Vantini, Simone, Vitelli, Valeria

    ISSN: 0167-9473, 1872-7352
    Veröffentlicht: Amsterdam Elsevier B.V 01.05.2010
    Veröffentlicht in Computational statistics & data analysis (01.05.2010)
    “… clustering nor by simple curve alignment. The procedure is illustrated via simulation studies and applications to real data …”
    Volltext
    Journal Article
  9. 9

    Functional clustering of varved lake sediment to reconstruct past seasonal climate von Arnqvist, Per, Bigler, Christian, Renberg, Ingemar, Sjöstedt de Luna, Sara

    ISSN: 1352-8505, 1573-3009, 1573-3009
    Veröffentlicht: New York Springer US 01.12.2016
    Veröffentlicht in Environmental and ecological statistics (01.12.2016)
    “… and within-year seasonal patterns. We propose to use functional data analysis methods to extract the relevant information with respect to climate reconstruction from the rich but complex information in the varves, including the shapes …”
    Volltext
    Journal Article
  10. 10
  11. 11

    Clustering Functional Data Based on Amplitude-Phase Separation von Zang, Xiao

    ISBN: 9798496561327
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2021
    “… The first method which we call elastic K-means extends its counterpart for multivariate data using an elastic metric that extracts the amplitude differences between functions and cluster templates …”
    Volltext
    Dissertation