Methods and Applications of Clusterwise Linear Regression: A Survey and Comparison

ACM Transactions on Knowledge Discovery from Data(2023)

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摘要
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. Some applications of the CLR algorithms and possible future research directions are also discussed.
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关键词
Regression analysis,cluster analysis,clusterwise linear regression,prediction methods
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