A sparse and structured constraint-based method for large-scale economic data analysis

This article proposes a structured sparse graph learning method (SSGL) for unsupervised feature extraction, aimed at addressing three major challenges in high-dimensional economic data: difficulty in extracting variable interaction relationships, insufficient utilization of structural features, and...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Wei Guan, Yan Yu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	PeerJ Inc. 2026-06-01
Schriftenreihe:	PeerJ Computer Science
Schlagworte:	Large-scale economy Feature extraction Sparse graph Affinity relationship Local structure
Online-Zugang:	https://peerj.com/articles/cs-3895.pdf
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