Clustering: A neural network approach

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Novel Class Discovery without Forgetting (2022, background): “Similar instances are grouped together by clustering algorithms [56,14], but they cannot make use of labeled instances from a disjoint set of classes.”
Neural network-based clustering using pairwise constraints (2015, background): “ self-organizing maps (Kohonen, 1982), neural gas (Martinetz et al., 1993), or adaptive resonance theory (Grossberg, 1976). Several variations have also appeared, for example discussed in the work of Du (2010). In this paper, we explore the possibility of doing joint feature learning and clustering ”
Big data for cyber physical systems in industry 4.0: a survey (2019, background): “There are two general models: the statistical model (Xu and Tian 2015) and the neural network model (Du 2010).”