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Journals peer-reviewed by Scopus

Pham, N.V. and Pham, L.T. and Pedrycz, W. and Ngo, L.T. (2021) Feature-reduction fuzzy co-clustering approach for hyper-spectral image analysis. Knowledge-Based Systems, 216: 106549. ISSN 9507051

Ngo, L.T. and Dang, T.H. and Pedrycz, W. (2018) Towards interval-valued fuzzy set-based collaborative fuzzy clustering algorithms. Pattern Recognition, 81. pp. 404-416. ISSN 313203

Truong, H.Q. and Ngo, L.T. and Pedrycz, W. (2017) Advanced Fuzzy Possibilistic C-means Clustering based on Granular Computing. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, 9 October 2016 through 12 October 2016.

Truong, H.Q. and Ngo, L.T. and Pedrycz, W. (2017) Granular Fuzzy Possibilistic C-Means Clustering approach to DNA microarray problem. Knowledge-Based Systems, 133. pp. 53-65. ISSN 9507051

Pham, V.N. and Ngo, L.T. and Pedrycz, W. (2016) Interval-valued fuzzy set approach to fuzzy co-clustering for data classification. Knowledge-Based Systems, 107. pp. 1-13. ISSN 9507051

Dang, T.H. and Ngo, L.T. and Pedrycz, W. (2016) Multiple kernel based collaborative fuzzy clustering algorithm. In: 8th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2016, 14 March 2016 through 16 March 2016.

Dang, T.H. and Ngo, L.T. and Pedrycz, W. (2015) Interval Type-2 fuzzy C-Means approach to collaborative clustering. In: IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, 2 August 2015 through 5 August 2015.

Ngo, L.T. and Mai, D.S. and Pedrycz, W. (2015) Semi-supervising Interval Type-2 Fuzzy C-Means clustering with spatial information for multi-spectral satellite image classification and change detection. Computers and Geosciences, 83. pp. 1-16. ISSN 983004

Nguyen, D.D. and Ngo, L.T. and Pham, L.T. and Pedrycz, W. (2015) Towards hybrid clustering approach to data classification: Multiple kernels based interval-valued Fuzzy C-Means algorithms. Fuzzy Sets and Systems, 279: 6740. pp. 17-39. ISSN 1650114