How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?

Mokbel B, Gross S, Lux M, Pinkwart N, Hammer B (2012)
In: Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings . Mana N, Schwenker F, Trentin E (Eds); Lecture Notes in Artificial Intelligence, 7477. Springer Berlin Heidelberg: 1-13.

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Conference Paper | Published | English
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Editor
Mana, Nadia ; Schwenker, Friedhelm ; Trentin, Edmondo
Publishing Year
Conference
5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012
Location
Trento, Italy
Conference Date
2012-09-17 – 2012-09-19
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Mokbel B, Gross S, Lux M, Pinkwart N, Hammer B. How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? In: Mana N, Schwenker F, Trentin E, eds. Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings . Lecture Notes in Artificial Intelligence. Vol 7477. Springer Berlin Heidelberg; 2012: 1-13.
Mokbel, B., Gross, S., Lux, M., Pinkwart, N., & Hammer, B. (2012). How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? In N. Mana, F. Schwenker, & E. Trentin (Eds.), Lecture Notes in Artificial Intelligence: Vol. 7477. Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings (pp. 1-13). Springer Berlin Heidelberg.
Mokbel, B., Gross, S., Lux, M., Pinkwart, N., and Hammer, B. (2012). “How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?” in Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings , ed. N. Mana, F. Schwenker, and E. Trentin Lecture Notes in Artificial Intelligence, vol. 7477, (Springer Berlin Heidelberg), 1-13.
Mokbel, B., et al., 2012. How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? In N. Mana, F. Schwenker, & E. Trentin, eds. Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings . Lecture Notes in Artificial Intelligence. no.7477 Springer Berlin Heidelberg, pp. 1-13.
B. Mokbel, et al., “How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?”, Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings , N. Mana, F. Schwenker, and E. Trentin, eds., Lecture Notes in Artificial Intelligence, vol. 7477, Springer Berlin Heidelberg, 2012, pp.1-13.
Mokbel, B., Gross, S., Lux, M., Pinkwart, N., Hammer, B.: How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning? In: Mana, N., Schwenker, F., and Trentin, E. (eds.) Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings . Lecture Notes in Artificial Intelligence. 7477, p. 1-13. Springer Berlin Heidelberg (2012).
Mokbel, Bassam, Gross, Sebastian, Lux, Markus, Pinkwart, Niels, and Hammer, Barbara. “How to Quantitatively Compare Data Dissimilarities for Unsupervised Machine Learning?”. Artificial Neural Networks in Pattern Recognition. 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012. Proceedings . Ed. Nadia Mana, Friedhelm Schwenker, and Edmondo Trentin. Springer Berlin Heidelberg, 2012.Vol. 7477. Lecture Notes in Artificial Intelligence. 1-13.
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