Small-to-medium enterprises (SMEs) in regional (non-metropolitan) areas are considered when economic planning may require large data sets and sophisticated clustering techniques. The economic growth of regional areas was investigated using four clustering algorithms. Empirical analysis demonstrated that the modified global k-means algorithm outperformed other algorithms.
Mardaneh, Karim K.
"Small-to-Medium Enterprises and Economic Growth: A Comparative Study of Clustering Techniques,"
Journal of Modern Applied Statistical Methods: Vol. 11
, Article 18.
Available at: http://digitalcommons.wayne.edu/jmasm/vol11/iss2/18