Non Negative Matrix Factorisation clustering capabilities; application on multivariate image segmentation

International Journal of Business Intelligence and Data Mining

Volumn 5, Issue 3, 2010, Pages 285-296

  Lazar, Cosmin ^a   Doncescu, Andrei ^b   Kabbaj, Nabil ^b  

^a UNIVERSITÉ DE REIMS CHAMPAGNE ARDENNE   (France)

^b UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

Classification; Fuzzy K means clustering; Metrics; Non negative matrix factorisation; Segmentation

Indexed keywords

EID: 77953159390     PISSN: 17438187     EISSN: 17438195     Source Type: Journal    
DOI: 10.1504/IJBIDM.2010.033363     Document Type: Article

References (15)

1. Bonnet, N. (2000) 'Artificial intelligence and pattern recognization techniques in microscopic image processing and analysis', Adv. Imag. Electron. Phys., Vol.14, pp.1-77.
2. Cutrona, J., Bonnet, N., Herbin, M. and Hofer, F. (2005) 'Advances in the segmentation of the multi-component microanalytical images', Ultramicroscopy, Vol.103, pp.141-152.
3. Davies, D.L. and Bouldin, D.W. (1979) 'Cluster separation measure', IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.1, pp.95-104.
4. Ding, C., He, X. and Simon, H.D. (2005) 'On the equivalence of nonnegative matrix factorization and spectral clustering', Proc. SIAM Data Mining Conf., 21-23 April, Newport Beach, California, USA.
5. Hartigan, J.A. and Wong, M.A. (1979) 'A K-means clustering algorithm', Applied Statistics, Vol.28, No.1, pp.100-108.
6. Herbin, M., Bonnet, N. and Vautrot, P. (2001) 'Number of clusters and influence zones',Pattern Recognition Letters, Vol.22, pp.1557-1568.
7. Hoyer, P.O. (2004) 'Non-negative matrix factorization with sparseness constraints', Journal of Machine Learning Research, Vol.5, pp.1457-1469.
8. Hyvärinen, A. and Oja, E. (2000) 'Independent component analysis: Algorithms and applications', Neural Networks, Vol.13, Nos. 4-5, pp.411-430. (Pubitemid 30447427)
9. Jain, A.K. and Dubes, R.C. (1988) Algorithms for Clustering Data, Englewood Cliffs, Prentice-Hall, Inc., NJ.
10. Lee, D.D. and Seung, H.S. (1999) 'Learning the parts of objects by non-negative matrix factorization', Nature, Vol.401, pp.788-791.
11. Li, T. and Ding, C. (2006) 'The relationships among various nonnegative matrix factorization methods for clustering', Proceedings of the 6th IEEE International Conference on Data Mining (ICDM'06), December, Hong Kong, pp.362-371.
12. Nuzillard, D. and Lazar, C. (2006) 'Comparison of two unsupervised methods of classification for segmenting multi-spectral images', This paper appears in International Conference on Acoustics, Speech, and Signal Processing 2006, 14-19 May, Vol.3, Champagne-Ardenne Univ., Reims, Toulouse, France, pp.III-III.
13. Nuzillard, D. and Lazar, C. (2007) 'Partitional clustering techniques for multi-spectral image segmentation', Journal of Computers, Vol.2, No.10, December, pp.1-8.
14. Shahnaz, F., Berry, M.W., Pauca, V.P. and Plemmons, R.J. (2006) 'Document clustering using nonnegative matrix factorization', Information Processing and Management: An International Journal, Vol.42, No.2, March, pp.373-386.
15. Xu, W., Liu, X. and Gong, Y. (2003) 'News article clustering based on non-negative matrix factorization', Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Toronto, pp.267-273.