Data squashing: constructing summary data sets

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Explainable machine learning in deployment (2019, neutral): “These techniques attempt to characterize the concepts learned by the model [31], simpler models learned from the representation of complex models [17], prototypical samples from a particular model output [10], or the topology of the data itself [20].”
Data mining a diabetic data warehouse (2002, background): “Squashing is a form of lossy compression that attempts to preserve statistical information [15].”
Explainable artificial intelligence: a comprehensive review (2021, methodology): “In addition to data summarization, data squashing, which contains a set of techniques that create a subset from the original dataset to generate a similar analysis result as the original dataset, was also investigated (DuMouchel 2002).”