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Probabilistic K-means with Local Alignment for Clustering and Motif Discovery in Functional Data

  • Published:2023-02-08 Issue: Volume: Page:1-12
  • ISSN:1061-8600
  • Container-title:Journal of Computational and Graphical Statistics
  • language:en
  • Short-container-title:Journal of Computational and Graphical Statistics

Author:

Cremona Marzia A.123ORCID,Chiaromonte Francesca34

Affiliation:

1. Department of Operations and Decision Systems, Université Laval, Québec, Canada;

2. CHU de Québec – Université Laval Research Center, Québec, Canada;

3. Department of Statistics, The Pennsylvania State University, University Park, PA;

4. Institute of Economics and EMbeDS, Sant’Anna School of Advanced Studies, Pisa, Italy

Funder

NSF

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SpICE: an interpretable method for spatial data;Computational Statistics;2024-08-26

2. Correction;Journal of Computational and Graphical Statistics;2024-05-31

3. funLOCI: A Local Clustering Algorithm for Functional Data;Journal of Classification;2023-12-07

4. Penalized model-based clustering of complex functional data;Statistics and Computing;2023-08-25

5. A novel framework for joint sparse clustering and alignment of functional data;Journal of Nonparametric Statistics;2023-05-04
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