Manifold learning based on straight-like geodesics and local coordinates

• Main Authors: Ma, Zhengming, Zhan, Zengrong, Feng, Zijian, Guo, Jiajing
• Other Authors: Interdisciplinary Graduate School (IGS)
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Dimensionality Reduction; Geodesic
• Online Access: https://hdl.handle.net/10356/159584
• Institution: Nanyang Technological University

In this article, a manifold learning algorithm based on straight-like geodesics and local coordinates is proposed, called SGLC-ML for short. The contribution and innovation of SGLC-ML lie in that; first, SGLC-ML divides the manifold data into a number of straight-like geodesics, instead of a number...