Research Article
Clustering Networks’ Heterogeneous Data in Defining a Comprehensive Closeness Centrality Index
Table 2
Rand external validation indices which compare the clustering result to the known standard partition.
| Dataset | 2 clusters | 3 clusters | 4 clusters | 5 clusters | 6 clusters | 7 clusters | 8 clusters | 9 clusters | 10 clusters | Average |
| Cornell | 0.531959 | 0.574993 | 0.591647 | 0.613904 | 0.645519 | 0.64885 | 0.631245 | 0.638118 | 0.652868 | 0.614345 | Texas | 0.405497 | 0.648554 | 0.652924 | 0.654534 | 0.649186 | 0.684434 | 0.697085 | 0.690587 | 0.664654 | 0.638606 | Washington | 0.676514 | 0.6543 | 0.64925 | 0.716233 | 0.707651 | 0.694817 | 0.706246 | 0.717904 | 0.705259 | 0.692019 | Wisconsin | 0.515209 | 0.707033 | 0.747256 | 0.74777 | 0.756118 | 0.752945 | 0.745798 | 0.700114 | 0.723756 | 0.710666 |
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