3 papers
stat.ME2026
Structure-Preserving Visualization of Complex Systems through Discrete Approximation: An Application to Argo Data
Shang-Ying Shiu, Fushing Hsieh, Ting-Li Chen
This paper presents a framework for constructing structure-preserving representations of complex systems through discrete approximation, and demonstrates its use in studying the ve…
stat.ML2026
cGAP: Generalized Association Plots with HOMALS-Guided Heatmaps for Visualization of High-Dimensional Categorical Data
Chun-houh Chen, Shun-Chuan Chang, Chiun-How Kao +5
High-dimensional categorical data arise in genetics, biomedicine, and the social sciences, yet visualization tools for such data remain far less developed than those for continuous…
stat.ME2012
On the strengths of the self-updating process clustering algorithm
Shang-Ying Shiu, Ting-Li Chen
We introduce a simple, intuitive and yet powerful algorithm for clustering analysis. This algorithm is an iterative process on the sample space, which arises as an extension of the…