Visual Clustering and Boundary Detection of Time-Dependent Datasets

Abstract

Visual clustering should be one of the basic tools for time-dependent data analysis in cyberworlds. This paper describes a novel approach to spatial clustering and boundary detection based on geometric modeling and visualization. Datasets and boundaries of clusters are visualized as 3D points and surfaces of reconstructed solids changing over time. Our… (More)
DOI: 10.1109/CW.2007.63

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