A fuzzy functional k-means approach for monitoring Italian regions according to health evolution over time
Author:
Funder
Health Research Board, Ireland
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-019-04505-2.pdf
Reference38 articles.
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2. Aguilera A, Aguilera-Morillo MC, Escabias M, Valderrama M (2011) Penalized spline approaches for functional principal component logit regression. In: Contributions to statistics. Physica-Verlag, Heidelberg, pp 1–7. https://doi.org/10.1007/978-3-7908-2736-1_1
3. Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Springer, Boston. https://doi.org/10.1007/978-1-4757-0450-1
4. Bora DJ, Gupta DAK (2014) A comparative study between fuzzy clustering algorithm and hard clustering algorithm. Int J Comput Trends Technol 10:108–113 https://doi.org/10.14445/22312803/ijctt-v10p119
5. Cardot H, Ferraty F, Sarda P (1999) Functional linear model. Stat Probab Lett 45:11–22. https://doi.org/10.1016/s0167-7152(99)00036-x
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