A Proposal of a Methodological Framework with Experimental Guidelines to Investigate Clustering Stability on Financial Time Series. Marti, G.; Very, P.; Donnat, P.; and Nielsen, F. In Li, T.; Kurgan, L. A.; Palade, V.; Goebel, R.; Holzinger, A.; Verspoor, K.; and Wani, M. A., editors, 14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 2015, pages 32–37, 2015. IEEE.
Paper doi bibtex @inproceedings{DBLP:conf/icmla/MartiVDN15,
author = {Gautier Marti and
Philippe Very and
Philippe Donnat and
Frank Nielsen},
editor = {Tao Li and
Lukasz A. Kurgan and
Vasile Palade and
Randy Goebel and
Andreas Holzinger and
Karin Verspoor and
M. Arif Wani},
title = {A Proposal of a Methodological Framework with Experimental Guidelines
to Investigate Clustering Stability on Financial Time Series},
booktitle = {14th {IEEE} International Conference on Machine Learning and Applications,
{ICMLA} 2015, Miami, FL, USA, December 9-11, 2015},
pages = {32--37},
publisher = {{IEEE}},
year = {2015},
url = {https://doi.org/10.1109/ICMLA.2015.11},
doi = {10.1109/ICMLA.2015.11},
timestamp = {Wed, 16 Oct 2019 14:14:53 +0200},
biburl = {https://dblp.org/rec/conf/icmla/MartiVDN15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}