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Clustering and Analysis of GPS Trajectory Data using Distance-based Features
We propose a new mobility metric, Daily Characteristic Distance, and use it to generate features for each user together with Origin-Destination matrix features.
WiFi Fingerprint Clustering for Urban Mobility Analysis
We propose a system architecture to scan the surrounding WiFi AP, and perform unsupervised learning to demonstrate that it is possible to identify three major insights, namely the indoor POI within a building, neighbourhood activity, and micro-mobility of the users.
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data
Information about the spatiotemporal flow of humans within an urban context has a wide plethora of applications.
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