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Knowing the geolocation of a router can help to predict the geolocation of an Internet user, which is important for local advertising, fraud detection, and geo-fencing applications. For example, the geolocation of the last router on the path to a user is a reasonable guess for the user's geolocation. Current methods for geolocating a router are based on parsing a router's name to find geographic hints...
The database has a large redundant data for Compass Navigation Satellite System (CNSS) always gives different values in different time even the user is stationary. In order to solve the problem, this paper first analyzes the existing algorithm of compressing redundant data based on clustering, and then proposes a comparison algorithm based on time-series. The latter deletes the redundant data so concisely...
K-means clustering is sensitive to starting points and its time cost is expensive for large scale of data, such as audio. Sampling approach is widely applied to find “better” starting points for speeding up the clustering converging procedure. However, how to choose a reasonable sampling-rate remains a problem. In this paper, we reported our initial exploration of locating reasonable sampling-rates...
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