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Table 2 Average of the Silhouette of a k-means clustering when k = 3 and k = 4

From: Evaluating performance of health care facilities at meeting HIV-indicator reporting requirements in Kenya: an application of K-means clustering algorithm

Average silhouette measures
HTC PMTCT CRT
Year K = 3 K = 4 Year K = 3 K = 4 Year K = 3 K = 4
 2011 0.800 0.775 2011 0.674 0.706 2011 0.368 0.582
 2012 0.526 0.563 2012 0.585 0.588 2012 0.556 0.599
 2013 0.659 0.648 2013 0.654 0.632 2013 0.637 0.618
 2014 0.669 0.669 2014 0.676 0.666 2014 0.692 0.663
 2015 0.737 0.709 2015 0.649 0.711 2015 0.710 0.705
 2016 0.749 0.754 2016 0.791 0.774 2016 0.708 0.710
 2017 0.685 0.673 2017 0.699 0.677 2017 0.696 0.700
 2018 0.593 0.714 2018 0.689 0.707 2018 0.654 0.701
VMMC PEP BS
Year K = 3 K = 4 Year K = 3 K = 4 Year K = 3 K = 4
2011 a a 2011 0.704 0.679 2011 a a
2012 1.00 b 2012 0.593 0.605 2012 0.734 0.730
2013 0.64 0.669 2013 0.639 0.629 2013 0.732 0.687
2014 0.634 0.661 2014 0.675 0.667 2014 0.712 0.650
2015 0.733 0.681 2015 0.682 0.673 2015 0.617 0.641
2016 0.708 0.699 2016 0.696 0.665 2016 0.719 0.680
2017 0.765 0.733 2017 0.621 0.611 2017 0.577 0.637
2018 0.657 0.636 2018 0.650 0.673 2018 0.610 0.607
  1. aThere are not enough valid cases to conduct the specified cluster analysis
  2. bIn the data, there is insufficient variation to honor the four clusters specified. The number of clusters is reduced to 3