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

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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.

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

The algorithm gave them an objective way to identify neighborhoods.

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

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