%0 Conference Paper %1 conf/scisisis/Yamazaki14 %A Yamazaki, Keisuke %B SCIS&ISIS %D 2014 %I IEEE %K dblp %P 961-965 %T The optimal hyperparameter for Bayesian clustering and its application to the evaluation of clustering results. %U http://dblp.uni-trier.de/db/conf/scisisis/scisisis2014.html#Yamazaki14 %@ 978-1-4799-5955-6

@inproceedings{conf/scisisis/Yamazaki14, added-at = {2017-05-23T00:00:00.000+0200}, author = {Yamazaki, Keisuke}, biburl = {https://www.bibsonomy.org/bibtex/24c56f7113c0472997fb53f493e70263d/dblp}, booktitle = {SCIS&ISIS}, crossref = {conf/scisisis/2014}, ee = {https://doi.org/10.1109/SCIS-ISIS.2014.7044654}, interhash = {459ff2ce70b005e884d8345a9a8b2018}, intrahash = {4c56f7113c0472997fb53f493e70263d}, isbn = {978-1-4799-5955-6}, keywords = {dblp}, pages = {961-965}, publisher = {IEEE}, timestamp = {2019-10-17T21:03:35.000+0200}, title = {The optimal hyperparameter for Bayesian clustering and its application to the evaluation of clustering results.}, url = {http://dblp.uni-trier.de/db/conf/scisisis/scisisis2014.html#Yamazaki14}, year = 2014 }