Renata M. C. R. de Souza, Francisco de A. T. de Carvalho, Daniel F. Pizzato. A Partitioning Method for Mixed Feature-Type Symbolic Data Using a Squared Euclidean Distance. In Christian Freksa, Michael Kohlhase, Kerstin Schill, editors, KI 2006: Advances in Artificial Intelligence, 29th Annual German Conference on AI, KI 2006, Bremen, Germany, June 14-17, 2006, Proceedings. Volume 4314 of Lecture Notes in Computer Science, pages 260-273, Springer, 2006. [doi]
@inproceedings{SouzaCP06,
title = {A Partitioning Method for Mixed Feature-Type Symbolic Data Using a Squared Euclidean Distance},
author = {Renata M. C. R. de Souza and Francisco de A. T. de Carvalho and Daniel F. Pizzato},
year = {2006},
doi = {10.1007/978-3-540-69912-5_20},
url = {http://dx.doi.org/10.1007/978-3-540-69912-5_20},
tags = {C++, partitioning},
researchr = {https://researchr.org/publication/SouzaCP06},
cites = {0},
citedby = {0},
pages = {260-273},
booktitle = {KI 2006: Advances in Artificial Intelligence, 29th Annual German Conference on AI, KI 2006, Bremen, Germany, June 14-17, 2006, Proceedings},
editor = {Christian Freksa and Michael Kohlhase and Kerstin Schill},
volume = {4314},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-540-69911-8},
}