Clustering very large dissimilarity data sets
Hammer B, Hasenfuss A (2010)
In: Artificial Neural Networks in Pattern Recognition (ANNPR 2010). Proceedings. Schwenker F, El Gayar N (Eds); Lecture Notes in Artificial Intelligence, 5998. Berlin: Springer: 259-273.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Hammer, BarbaraUniBi 
;
Hasenfuss, Alexander
;
Hasenfuss, AlexanderHerausgeber*in
Schwenker, Friedhelm;
El Gayar, Neamat
Einrichtung
Erscheinungsjahr
2010
Titel des Konferenzbandes
Artificial Neural Networks in Pattern Recognition (ANNPR 2010). Proceedings
Serien- oder Zeitschriftentitel
Lecture Notes in Artificial Intelligence
Band
5998
Seite(n)
259-273
Konferenz
IAPR Workshop on Artificial Neural Networks in Pattern Recognition
Konferenzort
Cairo, Egypt
Konferenzdatum
2010-04-11 – 2010-04-13
ISBN
978-3-642-12158-6
Page URI
https://pub.uni-bielefeld.de/record/1993536
Zitieren
Hammer B, Hasenfuss A. Clustering very large dissimilarity data sets. In: Schwenker F, El Gayar N, eds. Artificial Neural Networks in Pattern Recognition (ANNPR 2010). Proceedings. Lecture Notes in Artificial Intelligence. Vol 5998. Berlin: Springer; 2010: 259-273.
Hammer, B., & Hasenfuss, A. (2010). Clustering very large dissimilarity data sets. In F. Schwenker & N. El Gayar (Eds.), Lecture Notes in Artificial Intelligence: Vol. 5998. Artificial Neural Networks in Pattern Recognition (ANNPR 2010). Proceedings (pp. 259-273). Berlin: Springer. https://doi.org/10.1007/978-3-642-12159-3_24
Hammer, Barbara, and Hasenfuss, Alexander. 2010. “Clustering very large dissimilarity data sets”. In Artificial Neural Networks in Pattern Recognition (ANNPR 2010). Proceedings, ed. Friedhelm Schwenker and Neamat El Gayar, 5998:259-273. Lecture Notes in Artificial Intelligence. Berlin: Springer.
Hammer, B., and Hasenfuss, A. (2010). “Clustering very large dissimilarity data sets” in Artificial Neural Networks in Pattern Recognition (ANNPR 2010). Proceedings, Schwenker, F., and El Gayar, N. eds. Lecture Notes in Artificial Intelligence, vol. 5998, (Berlin: Springer), 259-273.
Hammer, B., & Hasenfuss, A., 2010. Clustering very large dissimilarity data sets. In F. Schwenker & N. El Gayar, eds. Artificial Neural Networks in Pattern Recognition (ANNPR 2010). Proceedings. Lecture Notes in Artificial Intelligence. no.5998 Berlin: Springer, pp. 259-273.
B. Hammer and A. Hasenfuss, “Clustering very large dissimilarity data sets”, Artificial Neural Networks in Pattern Recognition (ANNPR 2010). Proceedings, F. Schwenker and N. El Gayar, eds., Lecture Notes in Artificial Intelligence, vol. 5998, Berlin: Springer, 2010, pp.259-273.
Hammer, B., Hasenfuss, A.: Clustering very large dissimilarity data sets. In: Schwenker, F. and El Gayar, N. (eds.) Artificial Neural Networks in Pattern Recognition (ANNPR 2010). Proceedings. Lecture Notes in Artificial Intelligence. 5998, p. 259-273. Springer, Berlin (2010).
Hammer, Barbara, and Hasenfuss, Alexander. “Clustering very large dissimilarity data sets”. Artificial Neural Networks in Pattern Recognition (ANNPR 2010). Proceedings. Ed. Friedhelm Schwenker and Neamat El Gayar. Berlin: Springer, 2010.Vol. 5998. Lecture Notes in Artificial Intelligence. 259-273.
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