Multi-dimensional time-series subsequence clustering for visual feature analysis of blazar observation datasets

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Naoko Sawada, Makoto Uemura, Issei Fujishiro

Published: 2022, Last Modified: 13 Nov 2025Astron. Comput. 2022EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Clustering methods for multi-dimensional time-dependent blazar observation datasets.•A novel framework for interactive visual clustering analysis of blazar datasets.•Evaluations of our clustering methods and visual analysis framework through two practical case studies by a blazar research expert.