@book{Samet:2005,
 author = {Samet, Hanan},
 title = {Foundations of Multidimensional and Metric Data Structures},
 year = {2005},
 publisher = {Morgan Kaufmann}
} 

@book{Silvestre:2007,
 author = {Ant\'onio Lu\'is Silvestre},		
 title = "An\'alise de Dados e Estat\'istica Descritiva",
 year = "2007",
 publisher = "Escolar Editora"
}

@inproceedings{Tomasev:2013,
 author = {Tomasev, Nenad and Mladenic, Dunja},
 title = {Hub Co-occurrence Modeling for Robust High-Dimensional kNN Classification},
 booktitle = {European Conference on Machine Learning and Knowledge Discovery in Databases},
 year = {2013},
 address = {Prague, Czech Republic},
 pages = {643--659}
} 

@inproceedings{Buza:2016,
 author={Buza, Krisztian},
 title={Semi-supervised Naive Hubness Bayesian k-Nearest Neighbor for Gene Expression Data},
 bookTitle={International Conference on Computer Recognition Systems},
 year={2016},
 address = {Wroclaw, Poland},
 pages={101--110}
}

@inproceedings{Flexer:2013,
 author = {Flexer, Arthur and Schnitzer, Dominik},
 title = {Can Shared Nearest Neighbors Reduce Hubness in High-Dimensional Spaces?},
 booktitle = {International Conference on Data Mining Workshops},
 year = {2013},
 address = {Dallas, Texas},
 pages = {460--467}
} 

@Article{Tomasev:2014i,
 author="Tomasev, Nenad and Mladenic, Dunja",
 title="Hubness-Aware Shared Neighbor Distances for High-dimensional K-nearest neighbor classification",
 journal="Knowledge and Information Systems",
 year="2014",
 volume="39",
 number="1",
 pages="89--122"
}

@article{Tomasev:2014,
 author = {Tomasev, Nenad and Radovanovic, Milos and Mladenic, Dunja and Ivanovic, Mirjana},
 title = {The Role of Hubness in Clustering High-Dimensional Data},
 journal = {IEEE Transactions on Knowledge and Data Engineering},
 volume = {26},
 number = {3},
 year = {2014},
 pages = {739--751}
} 

@book{Nenad:2015,
 author = {Tomasev, Nenad and Radovanovic, Milos and Mladenic, Dunja and Ivanovic, Mirjana},
 title="Hubness-Based Clustering of High-Dimensional Data",
 bookTitle="Partitional Clustering Algorithms",
 year="2015",
 publisher="Springer International Publishing",
 pages="353--386"
}

@book{Basu:2008,
 author = {Basu, Sugato and Davidson, Ian and Wagstaff, Kiri},
 title = {Constrained Clustering: Advances in Algorithms, Theory, and Applications},
 year = {2008},
 edition = {1},
 publisher = {Chapman \& Hall/CRC},
}

@inproceedings{Tomasev:2011,
 author = {Tomasev, Nenad and Radovanovic, Milos and Mladenic, Dunja and Ivanovic, Mirjana},
 title = {The Role of Hubness in Clustering High-dimensional Data},
 booktitle = {Pacific-Asia Conference on Knowledge Discovery and Data Mining},
 year = {2011},
 address = {Shenzhen, China},
 pages = {183--195}
} 

@inproceedings{Lima:2016,
 author = {Lima, Mateus and Barioni, Maria and Razente, Humberto},
 title = {Combinando semi-supervis\~ao e hubness para aprimorar o agrupamento de dados em alta dimens\~ao},
 booktitle = {Simp\'osio Brasileiro de Banco de Dados},
 year = {2016},
 address = {Salvador, Brazil},
 pages = {139--144}
}

@book{Aggarwal:2013,
 author = {Aggarwal, Charu C. and Reddy, Chandan K.},
 title = {Data Clustering: Algorithms and Applications},
 year = {2013},
 edition = {1},
 publisher = {Chapman \& Hall/CRC},
}

@book{Taniar:2011,
 author = {Taniar, David and Iwan, Lukman Hakim},
 title = {Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends},
 year = {2011},
 edition = {1},
 publisher = {IGI Global}
} 

@article{Traina:2010,  
 author = {Jr., Caetano Traina and Traina, Agma J. M. and Faloutsos, Christos},
 title = {Fast Feature Selection using Fractal Dimension - Ten Years Later},
 journal = {Journal of Information and Data Management},
 volume = 1,
 number = 1,
 year = 2010,
 pages = {17--20},
}

@article{Kullback:1951,
 author = {Kullback, S. and Leibler, R. A.},
 title = {On Information and Sufficiency},
 journal = {Annals of Mathematical Statistics},
 number = 1,
 volume = 22,
 year = 1951,
 pages = {79--86}
}

@inproceedings{Kira:1992,
 author = {Kira, Kenji and Rendell, Larry A.},
 title = {The Feature Selection Problem: Traditional Methods and a New Algorithm},
 booktitle = {National Conference on Artificial Intelligence},
 pages = {129--134},
 year = {1992},
 address = {San Jose, California}
}

@book{Hair:1995,
 author = {Hair Jr., Joseph F. and Anderson, Rolph E. and Tatham, Ronald L. and Black, William C.},
 title = {Multivariate Data Analysis},
 year = {1995},
 edition = {4},
 publisher = {Prentice-Hall, Inc.} 
} 

@book{Borg:2005,
 author = {Borg, I. and Groenen, P.J.F.},
 title = {Modern Multidimensional Scaling: Theory and Applications},
 publisher = {Springer}, 
 edition = {1},  
 year = 2005
}

@article{Faloutsos:1995,
 author = {Faloutsos, Christos and Lin, King-Ip},
 title = {FastMap: A Fast Algorithm for Indexing, Data-mining and Visualization of Traditional and Multimedia Datasets},
 journal = {ACM SIGMOD Record},
 volume = {24},
 number = {2},
 year = {1995},
 pages = {163--174}
} 

@inproceedings{Aggarwal:2000,
 author = {Aggarwal, Charu C. and Yu, Philip S.},
 title = {Finding Generalized Projected Clusters in High Dimensional Spaces},
 booktitle = {ACM SIGMOD International Conference on Management of Data},
 year = {2000},
 address = {Dallas, Texas},
 pages = {70--81}
} 

@inproceedings{Kailing:2003,
 author = {K. Kailing and H.P. Kriegel, P. Kroger and S. Wanka},
 title = {Ranking interesting subspaces for clustering high dimensional data},
 booktitle = {European Conference on Principles and Practice of Knowledge Discovery in Databases},
 year = {2003},
 pages = {241--252},
 address = {Cavtat/Dubrovnik,Croatia}
} 


@inproceedings{Kailing:2004,
 author = {K. Kailing and H.P. Kriegel, P. Kroger},
 title = {Density-connected subspace clustering for high-dimensional data},
 booktitle = {SIAM International Conference on Data Mining},
 year = {2004},
 pages = {246--257},
 address = {Lake Buena Vista, Florida}
} 

@article{Muller:2009,
 author = {Muller, Emmanuel and Gunnemann, Stephan and Assent, Ira and Seidl, Thomas},
 title = {Evaluating Clustering in Subspace Projections of High Dimensional Data},
 journal = {Very Large Data Base Endowment},
 year = {2009},
 pages = {1270--1281},
 volume = {2},
 number = {1}
} 

@article{Chen:2009,
 author = {Chen, Jie and Saad,Yousef and Dasgupta, Sanjoy},
 title = {Fast approximate kNN graph construction for high dimensional data via recursive Lanczos bisection},
 journal = {Jornal of Machine Learning Research},
 volume = {10},
 number = {1},
 year = {2009},
 pages = {1989--2012}
}

@article{Satuluri:2012,
 author = {Satuluri, Venu and Parthasarathy, Srinivasan},
 title = {Bayesian Locality Sensitive Hashing for Fast Similarity Search},
 journal = {Very Large Data Base Endowment},
 volume = {5},
 number = {5},
 year = {2012},
 pages = {430--441}
}

@book{Chapelle:06,
 author = {Chapelle, Olivier and Schlkopf, Bernhard and Zien, Alexander},
 title = {Semi-Supervised Learning},
 year = {2010},
 edition = {1st},
 publisher = {The MIT Press}
} 

@article{Davidson:2007,
 author = {Davidson, I and Basu, S},
 title = {A survey of clustering instance level}, 
 journal = {Transactions on Knowledge Discovery from Data},
 year = {2007},
 pages = {1--41},
 volume = {1},
 number = {1}
}

@article{Xiong:2014,
 author = {Xiong, Sicheng and Azimi, Javad and Fern, Xiaoli Z.},
 title = {Active Learning of Constraints for Semi-Supervised Clustering},
 journal = {IEEE Transactions on Knowledge and Data Engineering},
 volume = {26},
 number = {1},
 year = {2014},
 pages = {43--54}
} 

@inproceedings{Wagstaff:2000,
 author = {Wagstaff, Kiri and Cardie, Claire},
 title = {Clustering with Instance-level Constraints},
 booktitle = {International Conference on Machine Learning},
 year = {2000},
 pages = {1103--1110},
 address = {Williamstown, Massachusetts}
}

@inproceedings{Schmidt:2011,
 author = {Schmidt, Jana and Brandle, Elisabeth Maria and Kramer, Stefan},
 title = {Clustering with Attribute-Level Constraints},
 booktitle = {International Conference on Data Mining},
 year = {2011},
 pages = {1206--1211},
 address = {Vancouver, Canada}
} 

@inproceedings{Dubey:2010,
 author = {Dubey, Avinava and Bhattacharya, Indrajit and Godbole, Shantanu},
 title = {A cluster-level semi-supervision model for interactive clustering},
 booktitle = {European Conference on Machine Learning and Knowledge Discovery in Databases},
 year = {2010},
 address = {Barcelona, Spain},
 pages = {409--424}
} 

@article{Kumar:2008,
 author = {Kumar, Nimit and Kummamuru, Krishna},
 title = {Semisupervised Clustering with Metric Learning using Relative Comparisons},
 journal = {IEEE Transactions on Knowledge and Data Engineering},
 volume = {20},
 number = {4},
 year = {2008},
 pages = {496--503}
}

@inproceedings{Ahmed:2012,
 author = {Ahmed, Eya Ben and Nabli, Ahlem and Gargouri, Faiez},
 title = {SHACUN: semi-supervised hierarchical active clustering based on ranking constraints},
 booktitle = {Industrial Conference on Advances in Data Mining},
 year = {2012},
 address = {Berlin, Germany},
 pages = {194--208}
}

@article{Barioni:2014,
 author = {Barioni, Maria and Razente, Humberto and Marcelino, Alessandra and Traina, Agma and Traina, Caetano},
 title = {Open Issues for Partitioning Clustering Methods: An Overview},
 journal = {Wiley Int. Rev. Data Mining and Knowledge Discovery},
 volume = {4},
 number = {3},
 year = {2014},
 pages = {161--177}
} 

@misc{Lichman:2013,
 author = "M. Lichman",
 year = "2013",
 title = "{UCI} Machine Learning Repository",
 howpublished = {\url{http://archive.ics.uci.edu/ml}},
 institution = "University of California, Irvine, School of Information and Computer Sciences",
 note = {Accessed: September, 2016}
} 

@misc{NBA:2011,
 author = "Databasesports.com",
 year = "2011",
 title = "{Database basketball}",
 howpublished = {\url{www.databasebasketball.com}},
 note = {Accessed: March, 2016}
} 

@inproceedings{Dhillon:2004,
 author = {Dhillon, Inderjit S. and Guan, Yuqiang and Kulis, Brian},
 title = {Kernel K-means: Spectral Clustering and Normalized Cuts},
 booktitle = {International Conference on Knowledge Discovery and Data Mining},
 year = {2004},
 address = {Seattle, WA},
 pages = {551--556}
} 

@article{Sander:1998,
 author = {Sander, Jorg and Ester, Martin and Kriegel, Hans-Peter and Xu, Xiaowei},
 title = {Density-Based Clustering in Spatial Databases: The Algorithm {GDBSCAN} and Its Applications},
 journal = {Data Mining and Knowledge Discovery},
 year = {1998},
 volume = {2},
 number = {2},
 year = {1998},
 pages = {169--194}
} 

@inproceedings{Li:2014,
 author    = {Li, Jundong and Sander, Jorg and Campello, Ricardo and Zimek, Arthur},
 title     = {Active Learning Strategies for Semi-Supervised {DBSCAN}},
 booktitle = {Canadian Conference on Artificial Intelligence},
 address = {Montreal, Canada},	
 pages     = {179--190},
 year      = {2014}
}

@misc{NenadGitHub:2014,
 author = {Tomasev, Nenad},
 title = {Hub Miner},
 year = {2014},
 publisher = {GitHub},
 journal = {GitHub repository},
 howpublished = {\url{https://github.com/datapoet/hubminer}},
 note = {Accessed: November, 2014}
}

@article{Hubert:1985,
 author="Hubert, Lawrence and Arabie, Phipps",
 title="Comparing partitions",
 journal="Journal of Classification",
 year="1985",
 volume="2",
 number="1",
 pages="193--218"
}

@article{Demsar:2006,
 author = {Demsar, Janez},
 title = {Statistical Comparisons of Classifiers over Multiple Data Sets},
 journal = {Journal of Machine Learning Research },
 volume = {7},
 number = {1},
 year = {2006},
 pages = {1--30}
} 

@book{Zar:2007,
 author = {Zar, Jerrold H.},
 title = {Biostatistical Analysis},
 year = {2007},
 publisher = {Prentice-Hall, Inc.},
 edition = {5}
} 

@inproceedings{Wang:2009,
 title = {Learning Models for Object Recognition from Natural Language Descriptions},
 author = {Wang, Josiah and Markert, Katja and Everingham, Mark},
 booktitle = {British Machine Vision Conference},
 address = {London, UK},	
 year = {2009},
 pages = {1-11}
}
