Categorical Data Clustering

• Andritsos P, Tsaparas P, Miller RJ, Sevcik KC (2004) LIMBO: scalable clustering of categorical data. In: Proceedings of the 9th international conference on extending database technology (EDBT), Heraklion, 14–18 Mar 2004, pp 123–146

  Google Scholar 

• Barbarà D, Couto J, Li Y (2002) COOLCAT: an entropy-based algorithm for categorical clustering. In: Proceedings of the 11th international conference on information and knowledge management (CIKM), McLean, 4–9 Nov 2002, pp 582–589

  Google Scholar 

• Cover TM, Thomas JA (1991) Elements of information theory. Wiley, New York

  Book  MATH  Google Scholar 

• Das G, Mannila H (2000) Context-based similarity measures for categorical databases. In: Proceedings of the 4th European conference on principles of data mining and knowledge discovery (PKDD), Lyon, 13–16 Sept 2000, pp 201–210

  Google Scholar 

• Fisher DH (1987) Knowledge acquisition via incremental conceptual clustering. Mach Learn 2: 139–172

  Google Scholar 

• Ganti V, Gehrke J, Ramakrishnan R (1999) CACTUS: clustering categorical data using summaries. In: Proceedings of the 5th international conference on knowledge discovery and data mining, (KDD), San Diego, 15–18 Aug 1999, pp 73–83

  Google Scholar 

• Gionis A, Mannila H, Tsaparas P (2007) Clustering aggregation. In: ACM transactions on knowledge discovery from data (TKDD), Mar 2007, vol 1, No 1. Association for Computing Machinery, New York

  Google Scholar 

• Gibson D, Kleinberg JM, Raghavan P (1998) Clustering categorical data: an approach based on dynamical systems. In: Proceedings of the 24rth international conference on very large data bases, (VLDB), New York, 24–27 Aug 1998, pp 311–322

  Google Scholar 

• Gluck M, Corter J (1985) Information, uncertainty, and the utility of categories. In: Proceedings of the 7th annual conference of the Cognitive Science Society (COGSCI), Irvine, pp 283–287

  Google Scholar 

• Guha S, Rastogi R, Shim K (1999) ROCK: a robust clustering algorithm for categorical atributes. In: Proceedings of the 15th international conference on data engineering, Sydney, 23–26 Mar 1999, pp 512–521

  Google Scholar 

• Jain AK, Dubes RC (1988) Algorithms for clustering data. Prentice-Hall, Englewood Cliffs

  MATH  Google Scholar 

• Jarke M, Lenzerini M, Vassiliou Y, Vassiliadis P (1999) Fundamentals of data warehouses. Springer-Verlag, Berlin/Heidelberg

  MATH  Google Scholar 

• Han J, Kamber M (2001) Data mining: concepts and techniques. Morgan Kaufmann, San Francisco

  MATH  Google Scholar 

• Huang Z (1998) Extensions to the k-means algorithm for clustering large data sets with categorical values. Data Min Knowl Discov 2(3):283–304

  Article  Google Scholar 

• Zaki MJ, Peters M, Assent I, Seidl T (2005) CLICKS: an effective algorithm for mining subspace clusters in categorical datasets. In: Proceeding of the 11th international conference on knowledge discovery and data mining (KDD), Chicago, 21–24 Aug 2005, pp 736–742

  Google Scholar 

Download references