Výsledky vyhľadávania - Functional data analysis Curve alignment Curve clustering k-mean algorithm

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  1. 1

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

    ISSN: 1061-8600, 1537-2715
    Vydavateľské údaje: Alexandria Taylor & Francis 03.07.2023
    “… In order to identify these shared curve portions, our method leverages ideas from functional data analysis…”
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    Journal Article
  2. 2

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

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

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

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

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

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

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

    ISSN: 2076-3417, 2076-3417
    Vydavateľské údaje: Basel MDPI AG 01.10.2018
    Vydané v 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…”
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    Journal Article
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    An introduction to functional data analysis and a principal component approach for testing the equality of mean curves Autor Horváth, Lajos, Rice, Gregory

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

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

    ISSN: 0167-9473, 1872-7352
    Vydavateľské údaje: Amsterdam Elsevier B.V 01.05.2010
    “… clustering nor by simple curve alignment. The procedure is illustrated via simulation studies and applications to real data…”
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    Journal Article
  9. 9

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

    ISSN: 1352-8505, 1573-3009, 1573-3009
    Vydavateľské údaje: New York Springer US 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…”
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    Journal Article
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    Clustering Functional Data Based on Amplitude-Phase Separation Autor Zang, Xiao

    ISBN: 9798496561327
    Vydavateľské údaje: 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…”
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    Dissertation