Comparison of hierarchical, non-hierarchical and neural network clustering techniques for the classification of atmospheric back trajectories

P. Kassomenos; C. Papaloukas; S. Vardoulakis; R. Borge; J. Lumbreras; S. Karakitsios

Comparison of hierarchical, non-hierarchical and neural network clustering techniques for the classification of atmospheric back trajectories

P. Kassomenos, C. Papaloukas, S. Vardoulakis, R. Borge, J. Lumbreras, S. Karakitsios

Research output: Contribution to conference (non-published works) › Paper › peer-review

Original language	English
Pages	96-100
Number of pages	5
Publication status	Published - 2007
Externally published	Yes
Event	11th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2007 - Cambridge, United Kingdom Duration: 2 Jul 2007 → 5 Jul 2007

Conference

Conference	11th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2007
Country/Territory	United Kingdom
City	Cambridge
Period	2/07/07 → 5/07/07

Cite this

Kassomenos, P., Papaloukas, C., Vardoulakis, S., Borge, R., Lumbreras, J., & Karakitsios, S. (2007). Comparison of hierarchical, non-hierarchical and neural network clustering techniques for the classification of atmospheric back trajectories. 96-100. Paper presented at 11th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2007, Cambridge, United Kingdom.

Kassomenos, P. ; Papaloukas, C. ; Vardoulakis, S. et al. / Comparison of hierarchical, non-hierarchical and neural network clustering techniques for the classification of atmospheric back trajectories. Paper presented at 11th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2007, Cambridge, United Kingdom.5 p.

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title = "Comparison of hierarchical, non-hierarchical and neural network clustering techniques for the classification of atmospheric back trajectories",

author = "P. Kassomenos and C. Papaloukas and S. Vardoulakis and R. Borge and J. Lumbreras and S. Karakitsios",

note = "Funding Information: The authors gratefully acknowledge the NOAA Air Resources Laboratory (ARL) for the provision of the FNL-HYSPLIT data, the HYSPLIT transport and dispersion model, and the READY web site (http://www.alr.noaa.gov/ready.htm) used in this study.; 11th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2007 ; Conference date: 02-07-2007 Through 05-07-2007",

year = "2007",

language = "English",

pages = "96--100",

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Kassomenos, P, Papaloukas, C, Vardoulakis, S, Borge, R, Lumbreras, J & Karakitsios, S 2007, 'Comparison of hierarchical, non-hierarchical and neural network clustering techniques for the classification of atmospheric back trajectories', Paper presented at 11th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2007, Cambridge, United Kingdom, 2/07/07 - 5/07/07 pp. 96-100.

Comparison of hierarchical, non-hierarchical and neural network clustering techniques for the classification of atmospheric back trajectories. / Kassomenos, P.; Papaloukas, C.; Vardoulakis, S. et al.
2007. 96-100 Paper presented at 11th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2007, Cambridge, United Kingdom.

Research output: Contribution to conference (non-published works) › Paper › peer-review

TY - CONF

T1 - Comparison of hierarchical, non-hierarchical and neural network clustering techniques for the classification of atmospheric back trajectories

AU - Kassomenos, P.

AU - Papaloukas, C.

AU - Vardoulakis, S.

AU - Borge, R.

AU - Lumbreras, J.

AU - Karakitsios, S.

N1 - Funding Information: The authors gratefully acknowledge the NOAA Air Resources Laboratory (ARL) for the provision of the FNL-HYSPLIT data, the HYSPLIT transport and dispersion model, and the READY web site (http://www.alr.noaa.gov/ready.htm) used in this study.

PY - 2007

Y1 - 2007

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M3 - Paper

AN - SCOPUS:85069365191

SP - 96

EP - 100

T2 - 11th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2007

Y2 - 2 July 2007 through 5 July 2007

ER -

Kassomenos P, Papaloukas C, Vardoulakis S, Borge R, Lumbreras J, Karakitsios S. Comparison of hierarchical, non-hierarchical and neural network clustering techniques for the classification of atmospheric back trajectories. 2007. Paper presented at 11th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2007, Cambridge, United Kingdom.

Comparison of hierarchical, non-hierarchical and neural network clustering techniques for the classification of atmospheric back trajectories

Conference

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