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Predicting 30-Day Emergency Readmission Risk Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Time Analysis of Air Pollution in a Spanish Region Through k-means

Authors : Ángel Arroyo, Verónica Tricio, Álvaro Herrero, Emilio Corchado

Published in: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16

Publisher: Springer International Publishing

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Abstract

This study presents the application of clustering techniques to a real-life problem of studying the air quality of the Castilla y León region in Spain. The goal of this work is to analyze the level of air pollution in eight points of this Spanish region between years 2008 and 2015. The analyzed data were provided by eight acquisition stations from the regional network of air quality. The main pollutants recorded at these stations are analyzed in order to study the characterization of such stations, according to a zoning process, and their time evolution. Four cluster evaluation and a clustering technique, with the main distance measures, have been applied to the dataset under analysis.

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Literature
1.
2.
Jain, A.K., Murty, M.N., Flynn, P.J.: Data clustering: a review. ACM Comput. Surv. (CSUR) 31(3), 264–323 (1999)CrossRef
3.
Kassomenos, P., Vardoulakis, S., Borge, R., Lumbreras, J., Papaloukas, C., Karakitsios, S.: Comparison of statistical clustering techniques for the classification of modelled atmospheric trajectories. Theoret. Appl. Climatol. 102, 1–12 (2010)CrossRef
4.
Pires, J.C.M., Sousa, S.I.V., Pereira, M.C., Alvim-Ferraz, M.C.M., Martins, F.G.: Management of air quality monitoring using principal component and cluster analysis—Part I: SO2 and PM10. Atmos. Environ. 42(6), 1249–1260 (2008)CrossRef
5.
6.
Liu, Y., Li, Z., Xiong, H., Gao, X., Wu, J.: Understanding of internal clustering validation measures. In: IEEE International Conference on Data Mining, pp. 911–916 (2010)
7.
Jain, A.K.: Data clustering: 50 years beyond K-means. Pattern Recogn. Lett. 31, 651–666 (2010)CrossRef
8.
9.
10.
Rousseeuw, P.J.: Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53–65 (1987)CrossRefMATH
11.
Davies, D.L., Bouldin, D.W.: A cluster separation measure. IEEE Trans. Pattern Anal. Mach. Intell. 1(2), 224–227 (1979)CrossRef
12.
Tibshirani, R., Walther, G., Hastie, T.: Estimating the number of clusters in a data set via the gap statistic. J. Roy. Stat. Soc.: Ser. B (Stat. Methodol.) 63, 411–423 (2001)MathSciNetCrossRefMATH
13.
Ding, C., He, X.: K-means clustering via principal component analysis. In: Proceedings of the Twenty-First International Conference on Machine Learning, p. 29 (2004)
14.
Danielsson, P.E.: Euclidean distance mapping. Comput. Graph. Image Process. 14, 227–248 (1980)CrossRef
15.
16.
17.
18.
19.
Metadata
Title
Time Analysis of Air Pollution in a Spanish Region Through k-means
Authors
Ángel Arroyo
Verónica Tricio
Álvaro Herrero
Emilio Corchado
Copyright Year
2017
Book
International Joint Conference SOCO’16-CISIS’16-ICEUTE’16

Print ISBN: 978-3-319-47363-5

Electronic ISBN: 978-3-319-47364-2

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-47364-2_7

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