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A Self-Supervised Deep Learning Framework for Unsupervised Few-Shot Learning and Clustering., , and . Pattern Recognit. Lett., (2021)How to älternatize" a clustering algorithm., , , and . Data Min. Knowl. Discov., 27 (2): 193-224 (2013)Editorial: Special issue on mining low-quality data., , , and . Knowl. Inf. Syst., 11 (2): 131-136 (2007)Batch Mode Active Sampling Based on Marginal Probability Distribution Matching., , , , , and . ACM Trans. Knowl. Discov. Data, 7 (3): 13:1-13:25 (2013)A Framework for Deep Constrained Clustering - Algorithms and Advances., , and . ECML/PKDD (1), volume 11906 of Lecture Notes in Computer Science, page 57-72. Springer, (2019)Behavioral differences: insights, explanations and comparisons of French and US Twitter usage during elections., , , and . Soc. Netw. Anal. Min., 10 (1): 6 (2020)Image Constrained Blockmodelling: A Constraint Programming Approach., , , , , , and . SDM, page 19-27. SIAM, (2018)Data preparation using data quality matrices for classification mining., and . Eur. J. Oper. Res., 197 (2): 764-772 (2009)A SAT-based Framework for Efficient Constrained Clustering., , and . SDM, page 94-105. SIAM, (2010)Multi-source domain adaptation and its application to early detection of fatigue., , , , and . KDD, page 717-725. ACM, (2011)