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@inproceedings{721576,
author = {Hudík, Tomáš},
address = {Glueph},
booktitle = {6th International Symposium on Environmental Software Systems},
keywords = {machine learning;positive matrix factorization;clustering},
language = {eng},
location = {Glueph},
isbn = {978-3-901882-22-7},
pages = {63-71},
publisher = {The International Federation for Information Processing WG 5.11},
title = {The PAH Source Identification Using Positive Matrix Factorization and Clustering Methods},
year = {2007}
}
TY - JOUR
ID - 721576
AU - Hudík, Tomáš
PY - 2007
TI - The PAH Source Identification Using Positive Matrix Factorization and Clustering Methods
PB - The International Federation for Information Processing WG 5.11
CY - Glueph
SN - 9783901882227
KW - machine learning;positive matrix factorization;clustering
N2 - The goal of this research was to try to find some typical model (representation) according to which climatologists would by able to identify the sources of pollution. We tried some general algorithms like ART2, Xmeans and EM. Although they gave us a lot of results we could not find which of them would be the best. Therefore we tried algorithm called Positive Matrix Factorization which was able to give us some fitness function. With that function we knew how a created model represents the input data.
ER -
HUDÍK, Tomáš. The PAH Source Identification Using Positive Matrix Factorization and Clustering Methods. In \textit{6th International Symposium on Environmental Software Systems}. Glueph: The International Federation for Information Processing WG 5.11, 2007, s.~63-71. ISBN~978-3-901882-22-7.
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