Balasko, B., Abonyi, J., and Feil, B., 2005, Fuzzy clustering and data analysis toolbox: Department of Process Engineering, University of Veszprem, Veszprem.
Barnes, A. E., 2006, Too many seismic attributes: CSEG Recorder, 31(3), 40-45.
Barnes, A. E., 2007, Redundant and useless seismic attributes: Geophysics, 72(3), 33-38.
Barnes, A. E., and Laughlin, K. J., 2002, Investigation of methods for unsupervised classification of seismic data: 72th Annual International Meeting, SEG, Extended Abstracts, Salt Lake City, Utah, 2221-2224.
Coléou, T., Poupon, M., and Azbel, K., 2003, Unsupervised seismic facies classification: A review and comparison of techniques and implementation: The Leading Edge, 22(10), 942-953.
Chopra, S., and Marfurt, K. J., 2005, Seismic attributes—A historical perspective: Geophysics, 70(5), 3SO-28SO.
Davies, D. L., and Bouldin, D. W., 1979, A cluster separation measure: IEEE transactions on pattern analysis and machine intelligence, 2, 224-227.
De Matos, M. C., Osorio, P. L., and Johann, P. R., 2006, Unsupervised seismic facies analysis using wavelet transform and self-organizing maps: Geophysics, 72(1), P9-P21.
Dorrington, K. P., and Link, C. A., 2004, Genetic-algorithm/neural-network approach to seismic attribute selection for well-log prediction: Geophysics, 69(1), 212-221.
Dumay, J., and Fournier, F., 1988, Multivariate statistical analyses applied to seismic facies recognition: Geophysics, 53(9), 1151-1159.
Dunn, J. C., 1974, Well-separated clusters and optimal fuzzy partitions: Journal of Cybernetics, 4(1), pp.95-104.
Figueiredo, A. M., Silva, P. M., Gattass, M., Silva, F. B., and Milidiú, R.L., 2014, A seismic faces analysis approach to map 3D seismic horizons: SEG Technical Program Expanded Abstracts, 1501-1505.
Guillen, P., Larrazabal, G., González, G., Boumber, D., and Vilalta, R., 2015, Supervised learning to detect salt body: SEG Technical Program Extended Abstracts, 1826-1829.
Hadiloo, S., and Hashemi, H., 2016, Combining supervised and unsupervised method with expert knowledge for seismic sacies analysis in SeisAnfis software: 78th EAGE Conference and Exhibition
Hashemi, H., 2010, Logical considerations in applying pattern recognition techniques on seismic data: Precise ruling, realistic solutions. Cseg Recorder, 35(4), 47-50.
Hu, X., and Xu, L., 2003, A comparative study of several cluster number selection criteria: In International Conference on Intelligent Data Engineering and Automated Learning, 195-202.
Jang, J. S., 1993, ANFIS: adaptive-network-based fuzzy inference system: IEEE transactions on systems, man, and cybernetics, 23(3), 665-685.
Jayaram, V., Avseth, P. A., Azbel, K., Coléou, T., Devegowda, D., de Groot, P., and Poupon, M., 2015, Introduction to special section: Pattern recognition and machine learning: Interpretation, 3(4), SAEi-SAEii.
Li, Y., Chen, M., Gao, W., and Zhong, G., 2014, Seismic attributes blending and borehole image facies analysis for reservoir prediction: Case study for a sand-conglomerate reservoir in Pinghu oil field, East China sea basin: SEG Annual Meeting, 2631-2635.
Li, X., Chen, Q., Wu, C., Liu, H., and Fang, Y., 2016, Application of multi-seismic attributes analysis in the study of distributary channels: Marine and Petroleum Geology, 75, 192-202.
Nikravesh, M., and Aminzadeh, F., 2001, Past, present and future intelligent reservoir characterization trends: Journal of Petroleum Science and Engineering, 31(2), 67-79.
Orozco-del-Castillo, M. G., Ortiz-Alemán, C., Urrutia-Fucugauchi, J., and Rodríguez-Castellanos, A., 2011, Fuzzy logic and image processing techniques for the interpretation of seismic data: Journal of Geophysics and Engineering, 8(2), 185.
Ross, T. J., 2009, Fuzzy Logic with Engineering Applications, John Wiley & Sons Inc.
Roweis, S. T., and Saul, L. K., 2000, Nonlinear dimensionality reduction by locally linear embedding: Science, 290(5500), 2323-2326.
Roy, A., Jayaram, V., and Marfurt, K.J., 2013, Active learning algorithms in seismic facies classification: SEG Technical Program, Extended Abstracts, 1467-1471.
Thenin, D., and Larson, R., 2013, Quantitative seismic interpretation—An earth modeling perspective: CSEG Recorder, 38, 30-35.
Wang, W., and Zhang, Y., 2007, On fuzzy cluster validity indices: Fuzzy sets and systems, 158(19), 2095-2117.
Zhao, T., Jayaram, V., Roy, R., and Marfurt, K. J., 2015, A comparison of classification techniques for seismic facies recognition: Interpretation, 3, SAE29-SAE58.
Zhao, T., and Ramachandran, K., 2013, Performance evaluation of complex neural networks in reservoir characterization: Applied to Boonsville 3-D seismic data: In 2013 SEG Annual Meeting, 2621-2625.