Abstract:
This job refers to classification of multidimensional objects and Kohonen artificial neural networks. A new concept is introduced, called the mean angular distance among objects (MADO). Its value can be calculated as the cosine of the mean centered vectors between objects. It can be expressed in matrix form for any number of objects. The MADO allows us to interpret the final organization of the objects in a Kohonen map. Simulated examples demonstrate the relationship between MADO and Kohonen maps and show a way to take advantage of the information present in both of them. Finally, a real analytical chemistry case is analyzed as an application on a big data set of an air quality monitoring campaign. It is possible to discover in it a subgroup of objects with different characteristics than those of the general trend. This subgroup is linked to the existence of an unidentified SO2 source that, a priori, has not been taken into account.
Registro:
Documento: |
Artículo
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Título: | The Mean Angular Distance Among Objects and its Relationships with Kohonen Artificial Neural Networks |
Autor: | Magallanes, J.F.; Zupan, J.; Gomez, D.; Reich, S.; Dawidowski, L.; Groselj, N. |
Filiación: | Comn. Nac. de Ener. Atómica, Av. Gral, Paz 1499, B1650KNA, Prov. de Buenos Aires, Argentina Universidad de Buenos Aires, Ciudad Universitaria de Nuñez, CP 1428, Capital Federal, Argentina National Institute of Chemistry, Hajdrihova 19, SLO-1000 Ljubljana, Slovenia Universidad Nacional de Gral, San Martín, Calle Alem 3901, 1653 Villa Ballester, Argentina
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Palabras clave: | Air quality; Angle measurement; Chemical analysis; Sulfur dioxide; Vectors; Data sets; Neural networks |
Año: | 2003
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Volumen: | 43
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Número: | 5
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Página de inicio: | 1403
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Página de fin: | 1411
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DOI: |
http://dx.doi.org/10.1021/ci034062v |
Título revista: | Journal of Chemical Information and Computer Sciences
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Título revista abreviado: | J. Chem. Inf. Comput. Sci.
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ISSN: | 00952338
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CODEN: | JCISD
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Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00952338_v43_n5_p1403_Magallanes |
Referencias:
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Citas:
---------- APA ----------
Magallanes, J.F., Zupan, J., Gomez, D., Reich, S., Dawidowski, L. & Groselj, N.
(2003)
. The Mean Angular Distance Among Objects and its Relationships with Kohonen Artificial Neural Networks. Journal of Chemical Information and Computer Sciences, 43(5), 1403-1411.
http://dx.doi.org/10.1021/ci034062v---------- CHICAGO ----------
Magallanes, J.F., Zupan, J., Gomez, D., Reich, S., Dawidowski, L., Groselj, N.
"The Mean Angular Distance Among Objects and its Relationships with Kohonen Artificial Neural Networks"
. Journal of Chemical Information and Computer Sciences 43, no. 5
(2003) : 1403-1411.
http://dx.doi.org/10.1021/ci034062v---------- MLA ----------
Magallanes, J.F., Zupan, J., Gomez, D., Reich, S., Dawidowski, L., Groselj, N.
"The Mean Angular Distance Among Objects and its Relationships with Kohonen Artificial Neural Networks"
. Journal of Chemical Information and Computer Sciences, vol. 43, no. 5, 2003, pp. 1403-1411.
http://dx.doi.org/10.1021/ci034062v---------- VANCOUVER ----------
Magallanes, J.F., Zupan, J., Gomez, D., Reich, S., Dawidowski, L., Groselj, N. The Mean Angular Distance Among Objects and its Relationships with Kohonen Artificial Neural Networks. J. Chem. Inf. Comput. Sci. 2003;43(5):1403-1411.
http://dx.doi.org/10.1021/ci034062v