Influence of music representation on compression-based clustering

2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

Volumn , Issue , 2010, Pages

  González Pardo, Antonio ^a   Granados, Ana ^a   Camacho, David ^a   De Borja Rodríguez, Francisco ^a  

^a UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO FILES; CLUSTERING METHODS; CLUSTERING PROCESS; HIERARCHICAL CLUSTERING METHODS; HOT RESEARCH TOPICS; MULTIMEDIA DATA; MULTIMEDIA INFORMATION; MULTIMEDIA INFORMATION RETRIEVAL; MUSIC FILES; MUSIC REPRESENTATION; NORMALIZED COMPRESSION DISTANCE; QUARTET TREE METHOD; WAVE INFORMATION;

ARTIFICIAL INTELLIGENCE; AUDIO ACOUSTICS; CLUSTER ANALYSIS; DATA COMPRESSION; EVOLUTIONARY ALGORITHMS; INFORMATION RETRIEVAL; TREES (MATHEMATICS); USER INTERFACES; WORLD WIDE WEB;

CLUSTERING ALGORITHMS;

EID: 79959381322     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2010.5586167     Document Type: Conference Paper

References (28)

1. T. Joachims, "Text categorization with support vector machines: Learning with many relevant features," Dortmund University, Tech. Rep., 1997.
2. E. Leopold and J. Kindermann, "Text categorization with support vector machines. how to represent texts in input space?" Machine Learning, vol. 46, no. 1-3, pp. 423-444, 2002.
3. T. Li, M. Ogihara, W. Peng, B. Shao, and S. Zhu, "Music clustering with features from different information sources," IEEE Trans. on Multimedia, vol. 11, no. 3, pp. 477-485, April 2009.
4. B. Mokbel, A. Hasenfuss, and B. Hammer, "Graph-based representation of symbolic musical data," in GbRPR '09: Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition. Berlin, Heidelberg: Springer-Verlag, 2009, pp. 42-51.
5. W. Peng, T. Li, and M. Ogihara, "Music clustering with constraints," in Proc. 8th Int. Conf. Music Information Retrieval (ISMIR 2007), 2007, pp. 27-32.
6. G. Tzanetakis and P. Cook, "Musical genre classification of audio signals," IEEE Transactions on Speech Audio Processing, vol. 10, no. 5, pp. 293-302, 2002.
7. H. D. Rohit, H. Deshp, and R. Singh, "Classification of music signals in the visual domain," 2001.
8. R. Cilibrasi, P. Vitanyi, and R. de Wolf, "Algorithmic clustering of music," Web Delivering of Music, 2004. WEDELMUSIC 2004. Proceedings of the Fourth International Conference on, pp. 110-117, 2004.
9. R. Cilibrasi, P. Vitányi, and R. D. Wolf, "Algorithmic clustering of music based on string compression," Comput. Music J., vol. 28, no. 4, pp. 49- 67, 2004.
10. R. L. Cilibrasi and P. M. Vitanyi, "The google similarity distance," IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 3, pp. 370-383, 2007.
11. X. Zhang, Y. Hao, X.-Y. Zhu, and M. Li, "New information distance measure and its application in question answering system," J. Comput. Sci. Technol., vol. 23, no. 4, pp. 557-572, 2008.
12. T. Arbuckle, A. Balaban, D. Peters, and M. Lawford, "Software documents: comparison and measurement," 2007.
13. B. Ryabko, "Compression-based methods for nonparametric prediction and estimation of some characteristics of time series," IEEE Trans. on Information Theory, vol. 55, no. 9, pp. 4309-4315, September 2009.
14. K. Emanuel, S. Ravela, E. Vivant, and C. Risi, "A combined statistical-deterministic approach of hurricane risk assessment," Unpublished manuscript, 2005.
15. C. C. Santos, J. Bernardes, P. M. B. Vitanyi, and L. Antunes, "Clustering fetal heart rate tracings by compression," in CBMS '06: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems. Washington, DC, USA: IEEE Computer Society, 2006, pp. 685-690.
16. D. Parry, "Use of kolmogorov distance identification of web page authorship, topic and domain," Open Source Web Information Retrieval, 2005.
17. R. Martínez, M. Cebrián, F. de Borja Rodríguez, and D. Camacho, "Contextual information retrieval based on algorithmic information theory and statistical outlier detection," in IEEE Information Theory Workshop, 2007.
18. A. Granados, M. Cebrián, D. Camacho, and F. de Borja Rodríguez, "Evaluating the impact of information distortion on normalized compression distance," in Proceedings of the 2nd International Castle Meeting on Coding Theory and Applications (ICMCTA), ser. Lecture Notes in Computer Science, A. Barbero, Ed., vol. 5228. Springer-Verlag, 2008, pp. 69-79.
19. A. Granados, M. Cebrián, D. Camacho, and F. de Borja Rodríguez, "Reducing the loss of information through annealing text distortion," IEEE Transactions on Knowledge and Data Engineering (In press), 2010.
20. M. Li, X. Chen, X. Li, B. Ma, and P. Vitanyi, "The similarity metric," IEEE Transactions on Information Theory, vol. 50, no. 12, pp. 3250-3264, 2004.
21. R. Cilibrasi and P. Vitanyi, "Clustering by compression," IEEE Transactions on Information Theory, vol. 51, no. 4, pp. 1523-1545, 2005.
22. X. Zhang, Y. Hao, X. Zhu, and M. Li, "Information distance from a question to an answer," in KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. New York, NY, USA: ACM, 2007, pp. 874-883.
23. D. Benedetto, E. Caglioti, and V. Loreto, "Language Trees and Zipping," Physical Review Letters, vol. 88, no. 4, p. 48702, 2002.
24. A. Kraskov, H. Stoegbauer, R. Andrzejak, and P. Grassberger, "Hierarchical clustering using mutual information," Europhysics Letters, vol. 70, no. 2, pp. 278-284, 2005.
25. A. Turing, "On computable numbers, with an application to the entscheidungsproblem," Proceedings of the London Mathematical Society, vol. 2, no. 42, pp. 230-265, 1936.
26. R. Cilibrasi, A. L. Cruz, S. de Rooij, and M. Keijzer, CompLearn Toolkit, [Online] Available: http://www.complearn.org/.
27. I. Pavlov, LZMAX, [Online] Available: http://www.7-zip.org/sdk.html.
28. J. Lin, E. J. Keogh, S. Lonardi, and B. Y. chi Chiu, "A symbolic representation of time series, with implications for streaming algorithms," in DMKD, 2003, pp. 2-11.