Nhận biết (M1)

Researchers César A. Hidalgo, Elisa Castañer, and Andres Sevtsuk created a computer model to predict the mix of gyms, beauty salons, 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 Central Square. The predictive model, which incorporates this algorithm, is sure to be invaluable in determining the optimal mix of a city's amenities.

Which choice best describes the overall structure of the text?

• A.

  It describes how an algorithm can predict the success of certain businesses, discusses an example of a use of that algorithm, and suggests potential uses of the algorithm in other fields.

• B.

  It introduces a research team's study of urban neighborhoods, describes an aspect of the study's methodology, and suggests a potential application of the team's research.

• C.

  It summarizes trends in recent urban development, describes a potential problem for urban planners, and suggests a computational tool that can be used to solve that problem.

• D.

  It explains why urban planners are interested in understanding the locations of certain businesses, details a study that has addressed this question, and identifies one key finding.