Presents a distribution-free multilevel vector field anomaly detection technique based on Karhunen-Loeve expansions that forms hypothesis tests without distributional assumptions and detects subtle anomalies missed by PCA in simulations.
Delineating urban functional areas with building-level social media data: A dy- namic time warping (dtw) distance based k-medoids method
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Distribution-Free Stochastic Analysis and Robust Multilevel Vector Field Anomaly Detection
Presents a distribution-free multilevel vector field anomaly detection technique based on Karhunen-Loeve expansions that forms hypothesis tests without distributional assumptions and detects subtle anomalies missed by PCA in simulations.