Abstract: This study explores the use of unsupervised learning algorithms—K-Means, K-Medoids, and Fuzzy C-Means (FCM)—to identify spatial patterns in 6,005 earthquake events in West Java from 2009 to ...
Abstract: Accurate identification of earthquake clusters is essential for understanding seismic behavior and improving hazard mitigation strategies in tectonically complex regions. While clustering ...
A custom Lovelace card that dynamically visualizes entities as a treemap. Rectangle sizes represent relative values while colors indicate status - perfect for comparing sensors, lights, thermostats, ...
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