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Knowl. Discov. Data"],"published-print":{"date-parts":[[2023,6,30]]},"abstract":"<jats:p>Clusterwise linear regression (CLR) is a well-known technique for approximating a data using more than one linear function. It is based on the combination of clustering and multiple linear regression methods. This article provides a comprehensive survey and comparative assessments of CLR including model formulations, description of algorithms, and their performance on small to large-scale synthetic and real-world datasets. 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