@inproceedings{3a79ed45c7894ed3a34fc65c7d1a03fd,
title = "Homogeneous bipartition based on multidimensional ranking",
abstract = "We present an algorithm which partitions a data set in two parts with equal size and experimentally nearly the same distribution measured through the likelihood of a Parzen kernel density estimator. The generation of the partition takes O(1\2N(N - 1)) operations (N number of data) and is 2 orders of magnitude faster than the state of the art.",
author = "Mich{\"a}el Aupetit",
year = "2008",
language = "English",
isbn = "2930307080",
series = "ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning",
pages = "259--264",
booktitle = "ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning",
note = "16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008 ; Conference date: 23-04-2008 Through 25-04-2008",
}