|| Chang, C. and Shiue, C., “Tree Structured Vector Quantization with Dynamic Path Search,” in Proceedings of International Workshops on Parallel Processing, Sept. 1999|
 Russo, M. and Patane, G., “Improving the LBG Algorithm,” in Lecture Notes in Computer Science. New York: springer-Verlag, pp.621-630, 1999.
 Russo, M. and Patane, G., “The enhanced LBG Algorithm,” Neural Networks, pp.1219-1237, 2001.
 Vlajic, N. and Card, C., “Vector quantization of images using modified adaptive resonance algorithm for hierarchical clustering,” in IEEE Transactions on Neural Networks, Vol.12, Sept. 2001.
 Gersho, A., and Gray, R. “Vector quantization and signal compression,” Boston: Kluwer, 1992.
 Sayood, K., “Introduction to Data Compression,” CA: Morgan Kaufmann, 2nd ed., 2000.
 Linde, Y., Buzo, A. and Gray, R., “An algorithm for vector quantization design,” in IEEE Transactions on Communications, pp.84-94, 1980.
 Lloyd, S., “Least squares quantization in PCMs ” , Murray Hill: Bell Telephone Laboratories paper.
 Balakrishnan, M., Pearlman, W. A. and Lu, L. ,“Variable Rate Tree-structure Vector Quantization,” in IEEE Transactions on Information Theory, pp.917-930, July 1995.
 Barbalho, M., Duarte, A., Neto, D., Costa, F. and Netto, A., “Hierarchical SOM applied to image compression,” in Proceedings of International Joint Conference on Neural Networks, pp.442 -447, July 2001.
 Karayiannis B., Pai P. and Zervos H., “Image compression based on fuzzy algorithms for learning vector quantization and wavelet image decomposition,” in IEEE Transactions on Image Processing, Vol.7, Aug. 1998.
 MacQueen J., “Some methods for classification and analysis of multivariate observations,” in proceedings of the fifth Berkeley symposium on Math. Stat. and prob., pp. 281-296, 1967.
 Forgey E., “Cluster analysis of multivariate data: efficiency vs. inter-pretability of classification.” Biometrics, 1965.
 Mukherjee D. and Mitra K., “Vector set partitioning with classified successive refinement VQ for embedded wavelet image coding,” in Proceedings of IEEE International Symposium on circuits and Systems, pp. 25-28, June 1998.
 Bayazit U. and Pearlman A., “Variable length constrained storage tree structure vector quantization,” in IEEE Transactions on Image Processing, Vol.8, March 1999.
Koikkalainen P. and Oja E., “Self-organizing hierarchical feature maps,” in proceedings of International Joint Conference on Neural Networks, pp. 279 -284, June 1990.
 Vlajic N., Card C. and Kunz T., “Image-compression for wireless World Wide Web browsing: a neural network approach,” in proceeding of IEEE International Joint Conference on Neural Networks, Vol. 1, July 2000.
 Lee H. and Lee D., “A gain-shape vector quantizer for image coding,” in proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 141-144, April 1986.
 Dong-Chul Park and Young-June Woo, “Weighted centroid neural network for edge preserving image compression” in IEEE Transactions on Neural Networks, Vol. 12, Sept. 2001.
 Ho Y.-S. and Gersho A., “Variable-rate multi-stage vector quantization for image coding,” in proceedings of International Conference on Acoustics, Speech, and Signal Processing, pp.1156-1159, 1988.
 Kusumoputro B., Widyanto R., Fanany I. and Budiarto H., “Improvement of artificial odor discrimination system using fuzzy-LVQ neural network,” in Proceeding of International Conference on Computational Intelligence and Multimedia Applications, pp. 474-478, Sept. 1999.
 Hammer B., Brandt A. and Schielein M., “Hierarchical encoding of image sequences using multistage vector quantization,” in proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.1055 -1058, Apr. 1987.
 Hung Yuen, Kam-Chi Li and Hanzo L., “Efficient variable rate vector quantization using quadtree segmentation,” in proceedings of IEEE International Symposium on Circuits and Systems, pp.1636-1639, 1995.