Semi-Supervised Clustering With Constraints of Different Types From Multiple Information Sources
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DOI: 10.1109/tpami.2020.2979699
Abstract: Semi-supervised clustering is one of important research topics in cluster analysis, which uses pre-given knowledge as constraints to improve the clustering performance. While clustering a data set, people often get prior constraints from different information… read more here.
Keywords: different types; information sources; semi supervised; supervised clustering ... See more keywords