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A biclustering algorithm with coherent evolution on the contiguous columns facing time-series gene data., , , , , , и . FSKD, стр. 328-333. IEEE, (2014)A Novel Approach for Customer Segmentation Based on Biclustering., , , , , , и . WISE Workshops, том 8182 из Lecture Notes in Computer Science, стр. 302-312. Springer, (2013)A New Customer Segmentation Framework Based on Biclustering Analysis., , , , , , , и . J. Softw., 9 (6): 1359-1366 (2014)An Effective Biclustering Algorithm for Time-Series Gene Expression Data., , , , , , и . ICMLC (CCIS volume), том 481 из Communications in Computer and Information Science, стр. 107-116. Springer, (2014)A new approach for mining deep order-preserving submatrices., , , , , и . FSKD, стр. 341-345. IEEE, (2014)Mining Order-Preserving Submatrices Based on Frequent Sequential Pattern Mining., , , , , , и . HIS, том 8423 из Lecture Notes in Computer Science, стр. 184-193. Springer, (2014)Evaluation of Distance Measures For NMF-Based Face Image Applications., , и . J. Comput., 9 (7): 1704-1711 (2014)A common-subsequence-based approach for mining deep order preserving submatrix., , , , , , и . FSKD, стр. 334-340. IEEE, (2014)A novel algorithm of biclustering based on the association rules., , , и . ICMLC, стр. 1842-1849. IEEE, (2013)