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Formation-Controlled Dimensionality Reduction

17 January 2025
Taeuk Jeong
Yoon Mo Jung
Euntack Lee
ArXiv (abs)PDFHTML
Abstract

Dimensionality reduction represents the process of generating a low dimensional representation of high dimensional data. Motivated by the formation control of mobile agents, we propose a nonlinear dynamical system for dimensionality reduction. The system consists of two parts; the control of neighbor points, addressing local structures, and the control of remote points, accounting for globalthis http URLalso include a brief mathematical analysis of the model and its numerical procedure. Numerical experiments are performed on both synthetic and real datasets and comparisons with existing models demonstrate the soundness and effectiveness of the proposed model.

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