A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction

no code implementations • 2 Aug 2020 • Takanori Fujiwara, Shilpika, Naohisa Sakamoto, Jorji Nonaka, Keiji Yamamoto, Kwan-Liu Ma

Data-driven problem solving in many real-world applications involves analysis of time-dependent multivariate data, for which dimensionality reduction (DR) methods are often used to uncover the intrinsic structure and features of the data.

Contrastive Learning Dimensionality Reduction +2