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.

According to the text, why did the team employ a clustering algorithm?

• A.

  The algorithm provided insight into how customers are made aware of new gyms and beauty salons.

• B.

  The algorithm gave them an objective way to identify neighborhoods.

• C.

  The algorithm could be used to evaluate the reasons for a business's closing.

• D.

  The algorithm could predict which types of businesses would be successful in a given neighborhood.