Manifold learning based on straight-like geodesics and local coordinates

• المؤلفون الرئيسيون: Ma, Zhengming, Zhan, Zengrong, Feng, Zijian, Guo, Jiajing
• مؤلفون آخرون: Interdisciplinary Graduate School (IGS)
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Computer science and engineering; Dimensionality Reduction; Geodesic
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/159584

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...