Dimensionality reduction model based on integer planning for the analysis of key indicators affecting life expectancy

Abstract

Exploring a dimensionality reduction model that can adeptly eliminate outliers and select the appropriate number of clusters is of profound theoretical and practical importance. Additionally, the interpretability of these models presents a persistent challenge.

Keywords

• integer programming
• multidimensional data
• dimensionality reduction
• life expectancy