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Researchers César A. Hidalgo, Elisa Castañer, and Andres Sevtsuk created a computer model to predict the mix of hotels, bicycle stores, and other businesses found in a given neighborhood. How we define a neighborhood and its boundaries is subjective, so the team used a clustering algorithm to locate dense groupings of amenities that represent human-identified neighborhoods like Boston's North End. The predictive model, which incorporates this algorithm, is sure to be invaluable in determining the optimal mix of a city's amenities.