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What is “k-means clustering,” and how might it help healthcare administration leaders in their health services organization?
One of the more common methods of clustering is the use of k-means, where “k” is the number of clusters that are meant to describe the population of interest. For example, what if you were interested in segmenting patients based on satisfaction levels? K-means clustering could be used in the same way to help describe this given population.
This technique might assist leaders in determining what characteristics need to be considered in order to study crime and unemployment. In striving to address the problem, k-means clustering is an effective tool for leadership to consider.
Review the resources for this week, and examine the k-means clustering approach. Reflect on how you might apply this approach to an issue or challenge in a health services organization.
