Dimensionality reduction model based on integer planning for the analysis of key indicators affecting life expectancy
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.
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2023-11-01
|
Series: | Journal of Data and Information Science |
Subjects: | |
Online Access: | https://doi.org/10.2478/jdis-2023-0025 |