Articles | Volume 14, issue 21
https://doi.org/10.5194/acp-14-11883-2014
https://doi.org/10.5194/acp-14-11883-2014
Research article
 | 
12 Nov 2014
Research article |  | 12 Nov 2014

Assessment and application of clustering techniques to atmospheric particle number size distribution for the purpose of source apportionment

F. Salimi, Z. Ristovski, M. Mazaheri, R. Laiman, L. R. Crilley, C. He, S. Clifford, and L. Morawska

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Cited articles

Beddows, D. C. S., Dall'Osto, M., and Harrison, R. M.: Cluster Analysis of Rural, Urban, and Curbside Atmospheric Particle Size Data, Environ. Sci. Technol., 43, 4694–4700, https://doi.org/10.1021/es803121t, 2009.
Bodenhofer, U., Kothmeier, A., and Hochreiter, S.: APCluster: an R package for affinity propagation clustering, Bioinformatics, 27, 2463–2464, 2011.
Brock, G., Pihur, V., Datta, S., and Datta, S.: ClValid: An R package for cluster validation, J. Stat. Softw., 25, 1–22, 2008.
Broderick, T., Kulis, B., and Jordan, M. I.: MAD-Bayes: MAP-based asymptotic derivations from Bayes, arXiv preprint arXiv:1212.2126, 2012.
Casati, R., Scheer, V., Vogt, R., and Benter, T.: Measurement of nucleation and soot mode particle emission from a diesel passenger car in real world and laboratory in situ dilution, Atmos. Environ., 41, 2125–2135, https://doi.org/10.1016/j.atmosenv.2006.10.078, 2007.
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