%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 }