%0 Journal Article
%1 noKey
%A Ruiz, Carlos
%A Spiliopoulou, Myra
%A Menasalvas, Ernestina
%D 2010
%I Springer US
%J Data Mining and Knowledge Discovery
%K kmd
%N 3
%P 345-370
%R 10.1007/s10618-009-0157-y
%T Density-based semi-supervised clustering
%U http://dx.doi.org/10.1007/s10618-009-0157-y
%V 21
%X Semi-supervised clustering methods guide the data partitioning and grouping process by exploiting background knowledge, among else in the form of
@article{noKey,
abstract = {Semi-supervised clustering methods guide the data partitioning and grouping process by exploiting background knowledge, among else in the form of },
added-at = {2014-06-20T13:44:10.000+0200},
author = {Ruiz, Carlos and Spiliopoulou, Myra and Menasalvas, Ernestina},
biburl = {https://www.bibsonomy.org/bibtex/2e9cdd56edc73c9280327749a50646c82/kmd-ovgu},
doi = {10.1007/s10618-009-0157-y},
interhash = {29b9935d8083e301132a4d0d3baae159},
intrahash = {e9cdd56edc73c9280327749a50646c82},
issn = {1384-5810},
journal = {Data Mining and Knowledge Discovery},
keywords = {kmd},
language = {English},
number = 3,
pages = {345-370},
publisher = {Springer US},
timestamp = {2014-06-20T13:44:10.000+0200},
title = {Density-based semi-supervised clustering},
url = {http://dx.doi.org/10.1007/s10618-009-0157-y},
volume = 21,
year = 2010
}