DB-CSC: a density-based approach for subspace clustering in graphs with feature vectors
S. Günnemann, B. Boden, and T. Seidl. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, page 565--580. Springer, (2011)
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%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
}
