Book (DBLP:books/crc/aggarwal2013)
Aggarwal, C. C. & Reddy, C. K. (ed.)
Data Clustering: Algorithms and Applications
CRC Press, 2014

Incollection (radelaar2011improving)
Radelaar, J.; Boor, A.-J.; Vandic, D.; van Dam, J.-W.; Hogenboom, F. & Frasincar, F.
Auer, S.; Díaz, O. & Papadopoulos, G. (ed.)
Improving the Exploration of Tag Spaces Using Automated Tag Clustering
Springer Berlin / Heidelberg, 2011, 6757, 274-288

Misc (Ren2011)
Ren, F.-X.; Cheng, X.-Q. & Shen, H.-W.
Modeling the clustering in citation networks

Inproceedings (ls_leimeister)
Duennebeil, S.; Sunyaev, A.; Blohm, I.; Leimeister, J. M. & Krcmar, H.
Do German physicians want electronic health services? A characterization of potential adopters and rejectors in German ambulatory care

Book (tango2010statistical)
Tango, T.
Statistical Methods for Disease Clustering
Springer New York, 2010

Phdthesis (bade2009personalized)
Bade, K.
Personalized Hierarchical Structuring
Otto-von-Guericke-Universitat Magdeburg, 2009

Article (Carpineto:2009:SWC:1541880.1541884)
Carpineto, C.; Osiński, S.; Romano, G. & Weiss, D.
A survey of Web clustering engines
ACM Comput. Surv., ACM, 2009, 41, 17:1-17:38

Inproceedings (Lu:2009:ETN:1645953.1646167)
Lu, C.; Chen, X. & Park, E. K.
Exploit the tripartite network of social tagging for web clustering
ACM, 2009, 1545-1548

Electronic (nedjah2009intelligent)
Nedjah, N.
Intelligent text categorization and clustering
Springer, 2009

Article (Leicht08community)
Leicht, E. A. & Newman, M. E. J.
Community Structure in Directed Networks
Phys. Rev. Lett., American Physical Society, 2008, 100, 118703

Incollection (springerlink:10.1007/978-3-540-74839-7_12)
Brandes, U.; Delling, D.; Gaertler, M.; Görke, R.; Hoefer, M.; Nikoloski, Z. & Wagner, D.
Brandstädt, A.; Kratsch, D. & Müller, H. (ed.)
On Finding Graph Clusterings with Maximum Modularity
Springer, 2007, 4769, 121-132

Inproceedings (grahl07conceptualKdml)
Grahl, M.; Hotho, A. & Stumme, G.
Hinneburg, A. (ed.)
Conceptual Clustering of Social Bookmark Sites
Martin-Luther-Universität Halle-Wittenberg, 2007, 50-54

Article (newman2006modularity)
Newman, M. E. J.
Modularity and community structure in networks
Proceedings of the National Academy of Sciences, 2006, 103, 8577-8582

Inproceedings (schmitz2006content)
Schmitz, C.; Hotho, A.; Jäschke, R. & Stumme, G.
Sure, Y. & Domingue, J. (ed.)
Content Aggregation on Knowledge Bases using Graph Clustering
Springer, 2006, 4011, 530-544

Article (RePEc:eee:csdana:v:41:y:2002:i:1:p:59-90)
Dhillon, I. S.; Modha, D. S. & Spangler, W. S.
Class visualization of high-dimensional data with applications
Computational Statistics & Data Analysis, 2002, 41, 59-90

Inproceedings (stumme01conceptualclustering)
Stumme, G.; Taouil, R.; Bastide, Y. & Lakhal, L.
Klinkenberg, R.; Rüping, S.; Fick, A.; Henze, N.; Herzog, C.; Molitor, R. & Schröder, O. (ed.)
Conceptual Clustering with Iceberg Concept Lattices

Inproceedings (conf/mldm/ToivonenVVBV01)
Toivonen, J.; Visa, A.; Vesanen, T.; Back, B. & Vanharanta, H.
Perner, P. (ed.)
Validation of Text Clustering Based on Document Contents.
Springer, 2001, 2123, 184-195

Article (Jain:1999:DCR:331499.331504)
Jain, A. K.; Murty, M. N. & Flynn, P. J.
Data Clustering: A Review
ACM Comput. Surv., ACM, 1999, 31, 264-323

Article (Jain:1999:DCR:331499.331504)
Jain, A. K.; Murty, M. N. & Flynn, P. J.
Data clustering: a review
ACM Comput. Surv., ACM, 1999, 31, 264-323

Inproceedings (zhang1996birch)
Zhang, T.; Ramakrishnan, R. & Livny, M.
BIRCH: An Efficient Data Clustering Method for Very Large Databases
ACM, 1996, 103-114