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One of the drawbacks of location fingerprinting systems is the effort that is necessary to set up and update the fingerprint database. In this paper, we propose a novel approach to significantly reduce this effort. We split the area of operation into a grid of quadratic cells and then combine these cells into larger regions of similar signal properties using a clustering algorithm and a novel similarity measure. Thus, less training data is required, and it can be collected in a more efficientdoi:10.1109/percomw.2010.5470497 dblp:conf/percom/LemelsonSE10 fatcat:hngssl5zzvd33prb6i45gghxmq