Non-exhaustive, Overlappingk-means release_jzfql4xoerc3hhuqgx4e6lu2pe

by Joyce Jiyoung Whang, Inderjit S. Dhillon, David F. Gleich

References

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Showing 1 - 17 of 17 references (in 64ms)
[b0]

via grobid
J. C. Bezdek, R. Ehrlich, and W. Full. FCM: The fuzzy c-means clustering algorithm. Computers & Geo- sciences, 1984.
[b1]

via grobid
A. Banerjee, C. Krumpelman, J. Ghosh, S. Basu, and R. J. Mooney. Model-based overlapping clustering. In KDD, 2005.
[b2]

via fuzzy
Data clustering: 50 years beyond K-means
Anil K. Jain
2010   Pattern Recognition Letters
doi:10.1016/j.patrec.2009.09.011 
web.archive.org [PDF]
[b3]

via grobid
G. Cleuziou. An extended version of the k-means method for overlapping clustering. ICPR, 2008
[b4]

via fuzzy
Identification of non-disjoint clusters with small and parameterizable overlaps
Chiheb-Eddine Ben N'Cir, G. Cleuziou, N. Essoussi
2013   2013 International Conference on Computer Applications Technology (ICCAT)  unpublished
doi:10.1109/iccat.2013.6522010 
[b5]

via fuzzy
Overlapping Clustering with Sparseness Constraints
Haibing Lu, Yuan Hong, W. Nick Street, Fei Wang, Hanghang Tong
2012   IEEE International Conference on Data Mining. Proceedings
doi:10.1109/icdmw.2012.16  dblp:conf/icdm/LuHSWT12 
web.archive.org [PDF]
[b6]

via grobid
S. P. Lloyd. Least squares quantization in PCM. IEEE Trans. Inf. Theory, 1982.
[b7]

via grobid
S. Chawla and A. Gionis. k-means--: a unified approach to clustering and outlier detection. In SDM, 2013.
[b8]

via fuzzy
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
2007   IEEE Transactions on Pattern Analysis and Machine Intelligence
doi:10.1109/tpami.2007.1115  pmid:17848776 
web.archive.org [PDF]
[b9]

via fuzzy
Normalized cuts and image segmentation
Jianbo Shi, J. Malik
Computer Vision and Pattern Recognition
doi:10.1109/cvpr.1997.609407  dblp:conf/cvpr/ShiM97 
web.archive.org [PDF]
[b10]

via fuzzy
Multilevelk-way Partitioning Scheme for Irregular Graphs
George Karypis, Vipin Kumar
1998   Journal of Parallel and Distributed Computing
doi:10.1006/jpdc.1997.1404 
web.archive.org [PDF]
[b11]

via grobid
Y.-L. Chen and H.-L. Hu. An overlapping cluster algorithm to provide non-exhaustive clustering. Eur. J. Oper. Res., 2006.
[b12]

via fuzzy
Overlapping community detection using seed set expansion
Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon
2013   International Conference on Information and Knowledge Management
doi:10.1145/2505515.2505535  dblp:conf/cikm/WhangGD13 
web.archive.org [PDF]
[b13]

via fuzzy
DEMON: a Local-First Discovery Method for Overlapping Communities [article]
Michele Coscia, Giulio Rossetti, Fosca Giannotti, Dino Pedreschi
2012    pre-print
version:v1  arXiv:1206.0629v1 
web.archive.org [PDF]
[b14]

via grobid
J. Yang and J. Leskovec. Overlapping community detection at scale: a nonnegative matrix factorization approach. In WSDM, 2013.
[b15]

via fuzzy
Finding Statistically Significant Communities in Networks
Andrea Lancichinetti, Filippo Radicchi, José J. Ramasco, Santo Fortunato, Eshel Ben-Jacob
2011   PLoS ONE
doi:10.1371/journal.pone.0018961  pmcid:PMC3084717  pmid:21559480 
web.archive.org [PDF]
[b16]

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Overlapping Community Detection in Networks: the State of the Art and Comparative Study [article]
Jierui Xie, Stephen Kelley, Boleslaw K. Szymanski
2011    pre-print
version:v1  arXiv:1110.5813v1 
web.archive.org [PDF]