Skip to main content

Table 5 Cluster solutions and their respective model fit according to different indices. Arrow indicates whether higher (↑) or lower scores (↓) are indicative of better model fit, * indicates best model fit for each of the indices

From: Profiles and predictors of healthcare utilization: using a cluster-analytic approach to identify typical users across conventional, allied and complementary medicine, and self-care

  Index
Cluster solution Silhouette ↑ C-index ↓ Dunn index ↑ BIC ↓ Davies-Bouldin
index ↓
2 Clusters 0.14 0.37 0.20 885,194.80 2.58
3 Clusters 0.12 Inf 0.20 1,063,109.00* 3.75
4 Clusters 0.14 0.29 0.21 −80,894.13 1.95
5 Clusters 0.17 0.28 0.21 −41,601.08 1.81
6 Clusters 0.15 Inf 0.22* − 8587.70 1.70
7 Clusters 0.18 0.24* 0.21 11,532.30 1.65*
8 Clusters 0.20 0.25 0.21 36,644.75 1.72
9 Clusters 0.21* 0.24* 0.21 54,450.64 1.75