Convex-area-wise Linear Regression and Algorithms for Data Analysis

This paper introduces a new type of regression methodology named as Convex-Area-Wise Linear Regression(CALR), which separates given datasets by disjoint convex areas and fits different linear regression models for different areas. This regression model is highly interpretable, and it is able to inte...

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Veröffentlicht in:	arXiv.org 2024-06
Hauptverfasser:	Lyu, Bohan, Li, Jianzhong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Data analysis Datasets Integer programming Mixed integer Regression models
Online-Zugang:	Volltext
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