The disclosure includes a system for determining the location of Wi-Fi access points based on clustering of user device data. In an example scenario, for users that are inferred to have visited a store, one or more Wi-Fi access points in proximity to the store are determined. Next, a likelihood that each of the users visited the store is determined based on user data. In another step, clusters of the users for each of the Wif-Fi access points are generated. The Wi-Fi access point associated with the store is determined based on the likelihoods that the users visited the store and the clusters.
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Mcdonnell, Philip, "Deermining The Location of Wi-Fi Access Points Based on Crowdsourced Data", Technical Disclosure Commons, (February 29, 2016)