A supervised weeding method to cluster high dimensional predictors with application to job market analysis-Reference-Cited by-同舟云学术

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A supervised weeding method to cluster high dimensional predictors with application to job market analysis

Published:2024-05 Issue: Volume: Page:1-16
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Li Yuyang¹,Bi Jianxin²,Liu Jingyuan²^ORCID,Yang Ying³

Affiliation:

1. Department of Statistics, Iowa State University, Ames, IA, USA

2. MOE Key Laboratory of Econometrics, Department of Statistics, School of Economics, Xiamen University Laboratory of Digital Finance, and Fujian Key Lab of Statistics, Xiamen University, Xiamen, People's Republic of China

3. Department of Data Science, Tencent Cloud Technology Co., Wuhan, People's Republic of China

Funder

NNSFC

Ministry of Education Research in the Humanities and Social Sciences

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2024.2348634

Reference32 articles.

1. Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering

2. Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer

3. The Arithmetic Optimization Algorithm

4. Nature-Inspired Optimization Algorithms for Text Document Clustering—A Comprehensive Analysis

5. Advances in meta-heuristic optimization algorithms in big data text clustering;Abualigah L.;Electronics,2021

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