Abstract:Crowdsourcing provides a means of gathering data from the public in order to infer what the ground truth label of an unfamiliar entity is. Such data are not used for decision making in their raw form until further processing is done to infer ground truth from the crowdsourced data. This paper presents a detailed comparative analysis of the ground truth inference ability of three clustering algorithms on crowd sourced datasets with different experimental scenarios (Initializing centroids and extracting class l… Show more
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