%0 Conference Paper %1 gunnemann2011db %A Günnemann, Stephan %A Boden, Brigitte %A Seidl, Thomas %B Joint European Conference on Machine Learning and Knowledge Discovery in Databases %D 2011 %K louvain dbscan clustering density citedby:scholar:count:51 citedby:scholar:timestamp:2019-2-19 %P 565--580 %T DB-CSC: a density-based approach for subspace clustering in graphs with feature vectors

@inproceedings{gunnemann2011db, added-at = {2019-02-19T06:26:10.000+0100}, author = {G{\"u}nnemann, Stephan and Boden, Brigitte and Seidl, Thomas}, biburl = {https://www.bibsonomy.org/bibtex/2b7e95c92b7ca791bca883b226845f0cf/becker}, booktitle = {Joint European Conference on Machine Learning and Knowledge Discovery in Databases}, interhash = {b763c5724af5de8d29a6e2d5ecd81eb2}, intrahash = {b7e95c92b7ca791bca883b226845f0cf}, keywords = {louvain dbscan clustering density citedby:scholar:count:51 citedby:scholar:timestamp:2019-2-19}, organization = {Springer}, pages = {565--580}, timestamp = {2019-02-19T06:26:10.000+0100}, title = {DB-CSC: a density-based approach for subspace clustering in graphs with feature vectors}, year = 2011 }