Aggarwal, C. C. & Reddy, C. K. (eds.) (2014). Data Clustering: Algorithms and Applications. CRC Press. ISBN: 978-1-46-655821-2

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

Ren, F.-X., Cheng, X.-Q. & Shen, H.-W. (2011). Modeling the clustering in citation networks (cite arxiv:1104.4209)

Duennebeil, S., Sunyaev, A., Blohm, I., Leimeister, J. M. & Krcmar, H. (2010). Do German physicians want electronic health services? A characterization of potential adopters and rejectors in German ambulatory care. 3. International Conference on Health Informatics (HealthInf) 2010, Valencia, Spain.

Tango, T. (2010). Statistical Methods for Disease Clustering. New York, NY: Springer New York. ISBN: 1441915729 (Sekundärausgabe)

Bade, K. (2009). Personalized Hierarchical Structuring. Unpublished doctoral dissertation , Otto-von-Guericke-Universitat Magdeburg .

Carpineto, C., Osiński, S., Romano, G. & Weiss, D. (2009). A survey of Web clustering engines. ACM Comput. Surv., 41, 17:1--17:38. doi: 10.1145/1541880.1541884

Lu, C., Chen, X. & Park, E. K. (2009). Exploit the tripartite network of social tagging for web clustering. Proceeding of the 18th ACM conference on Information and knowledge management (p./pp. 1545--1548), New York, NY, USA: ACM. ISBN: 978-1-60558-512-3

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

Leicht, E. A. & Newman, M. E. J. (2008). Community Structure in Directed Networks. Phys. Rev. Lett., 100, 118703. doi: 10.1103/PhysRevLett.100.118703

Brandes, U., Delling, D., Gaertler, M., Görke, R., Hoefer, M., Nikoloski, Z. & Wagner, D. (2007). On Finding Graph Clusterings with Maximum Modularity. In A. Brandstädt, D. Kratsch & H. Müller (ed.), Graph-Theoretic Concepts in Computer Science , Vol. 4769 (pp. 121-132) . Springer . ISBN: 978-3-540-74838-0.

Grahl, M., Hotho, A. & Stumme, G. (2007). Conceptual Clustering of Social Bookmark Sites. In A. Hinneburg (ed.), Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007) (p./pp. 50-54), September, : Martin-Luther-Universität Halle-Wittenberg. ISBN: 978-3-86010-907-6

Newman, M. E. J. (2006). Modularity and community structure in networks. Proceedings of the National Academy of Sciences, 103, 8577--8582. doi: 10.1073/pnas.0601602103

Schmitz, C., Hotho, A., Jäschke, R. & Stumme, G. (2006). Content Aggregation on Knowledge Bases using Graph Clustering. In Y. Sure & J. Domingue (eds.), The Semantic Web: Research and Applications (p./pp. 530-544), Heidelberg: Springer.

Dhillon, I. S., Modha, D. S. & Spangler, W. S. (2002). Class visualization of high-dimensional data with applications. Computational Statistics & Data Analysis, 41, 59-90.

Stumme, G., Taouil, R., Bastide, Y. & Lakhal, L. (2001). Conceptual Clustering with Iceberg Concept Lattices. In R. Klinkenberg, S. Rüping, A. Fick, N. Henze, C. Herzog, R. Molitor & O. Schröder (eds.), Proc. GI-Fachgruppentreffen Maschinelles Lernen (FGML'01), October, Universität Dortmund 763.

Toivonen, J., Visa, A., Vesanen, T., Back, B. & Vanharanta, H. (2001). Validation of Text Clustering Based on Document Contents.. In P. Perner (ed.), MLDM (p./pp. 184-195), : Springer. ISBN: 3-540-42359-1

Jain, A. K., Murty, M. N. & Flynn, P. J. (1999). Data Clustering: A Review. ACM Comput. Surv., 31, 264--323. doi: 10.1145/331499.331504

Jain, A. K., Murty, M. N. & Flynn, P. J. (1999). Data clustering: a review. ACM Comput. Surv., 31, 264--323. doi: 10.1145/331499.331504

Zhang, T., Ramakrishnan, R. & Livny, M. (1996). BIRCH: An Efficient Data Clustering Method for Very Large Databases. Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data (p./pp. 103--114), New York, NY, USA: ACM. ISBN: 0-89791-794-4