Text clustering with string kernels in R

Studies in Classification, Data Analysis, and Knowledge Organization

Volumn , Issue , 2007, Pages 91-98

  Karatzoglou, Alexandros ^a   Feinerer, Ingo ^b  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b VIENNA UNIVERSITY OF ECONOMICS AND BUSINESS   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; INFORMATION ANALYSIS;

KERNEL BASED METHODS; KERNEL K-MEANS; KERNEL METHODS; SPECTRAL CLUSTERING; STRING KERNEL; TEXT CLUSTERING; TEXT DOCUMENT; TRADITIONAL CLUSTERING;

K-MEANS CLUSTERING;

EID: 84879562945     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-70981-7_11     Document Type: Conference Paper

References (13)

1. CANCEDDA, N., GAUSSIER, E., GOUTTE, C. and RENDERS, J.M. (2003): Word-sequence Kernels. Journal of Machine Learning Research, 3, 1059-1082.
2. FOWLKES, C., BELONGIE, S., CHUNG, F. and MALIK J. (2004): Spectral Grouping Using the Nystrom Method. Transactions on Pattern Analysis and Machine Intelligence, 26, 2, 214-225.
3. HERBRICH, R. (2002): Learning Kernel Classifiers Theory and Algorithms. MIT Press.
4. JOACHIMS, T. (1999): Making Large-scale SVM Learning Practical. In: Advances in Kernel Methods - Support Vector Learning.
5. JOACHIMS, T. (2002): Learning to Classify Text Using Support Vector Machines: Methods, Theory, and Algorithms. The Kluwer International Series In Engineering And Computer Science. Kluwer Academic Publishers, Boston.
6. LEWIS, D. (1997): Reuters-21578 Text Categorization Test Collection.
7. LODHI, H., SAUNDERS, C., SHAWE-TAYLOR, J., CRISTIANINI, N. and WATKINS, C. (2002): Text Classification Using String Kernels. Journal of Machine Learning Research, 2, 419-444.
8. NG, A., JORDAN, M. and WEISS, Y. (2001): On Spectral Clustering: Analysis and an Algorithm. Advances in Neural Information Processing Systems, 14.
9. R DEVELOPMENT CORE TEAM (2006): R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
10. SHI, J. and MALIK, J. (2000): Normalized Cuts and Image Segmentation. Transactions on Pattern Analysis and Machine Intelligence, 22, 8, 888-905.
11. TEMPLE LANG, D. (2005): Rstem: Interface to Snowball Implementation of Porter's Word Stemming Algorithm. R Package Version 0.2-0.
12. VISHWANATHAN, S. and SMOLA, A. (2004): Fast Kernels for String and Tree Matching. In: K. Tsuda, B. Schölkopf and J.P. Vert (Eds.): Kernels and Bioinformatics. MIT Press, Cambridge.
13. WATKINS, C. (2000): Dynamic Alignment Kernels. In: A.J. Smola, P.L. Bartlett, B. Schölkopf and D. Schuurmans (Eds.): Advances in Large Margin Classifiers. MIT Press, Cambridge, 39-50.