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Can I read Methods and Applications of Clusterwise Linear Regression: A Survey and Comparison on EtoBox?
Methods and Applications of Clusterwise Linear Regression: A Survey and Comparison by Long, Qiang (author);Bagirov, Adil (author);Taheri, Sona (author);Sultanova, Nargiz (author);Wu, Xue (author) is a Computer Science article available to read on EtoBox.
What is Methods and Applications of Clusterwise Linear Regression: A Survey and Comparison about?
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 paper 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 data sets. Some applications of the CLR algorithms and possible future research directions are also discussed.
Who reads Methods and Applications of Clusterwise Linear Regression: A Survey and Comparison?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Long, Qiang (author);Bagirov, Adil (author);Taheri, Sona (author);Sultanova, Nargiz (author);Wu, Xue (author)
- Publisher
- Association for Computing Machinery (ACM)
- Published
- 2023
- Language
- EN
- Field
- Computer Science (Physical Sciences)