A new algorithm for clustering based on kernel density estimation-Reference-Cited by-同舟云学术

A new algorithm for clustering based on kernel density estimation

Published:2017-01-12 Issue:2 Volume:45 Page:347-366
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Matioli L. C.¹^ORCID,Santos S.R.²,Kleina M.³⁴,Leite E. A.⁴

Affiliation:

1. Dep. de Matemática, Universidade Federal do Paraná-UFPR, Curitiba, Brazil

2. Dep. de Mat., Universidade Estadual do Paraná-UNESPAR, Campo Mourão, Brazil

3. Dep. de Engenharia de Produção, Universidade Federal do Paraná-UFPR, Curitiba, Brazil

4. Sistema Metereológico do Paraná-SIMEPAR, Curitiba, Brazil

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2016.1277191

Reference31 articles.

1. Clustering via nonparametric density estimation

2. A comparative study of several smoothing methods in density estimation

3. Miscellanea. Data sharpening as a prelude to density estimation

4. M. Danese, M. Lazzari, and B. Murgante, Kernel density estimation methods for a geostatistical approach in seismic risk analysis: The case study of Potenza hilltop town (southern Italy), in (ICCSA) – Lecture Notes in Computer Science, Vol. 5072, O. Gervasi, B. Murgante, A. Laganà, D. Taniar, Y. Mun and M.L. Gavrilova, eds., Springer-Verlag, Berlin, 2008, pp. 415–429.

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