From: Analysis of agriculture data using data mining techniques: application of big data
Number of clusters k = 3 | |||
---|---|---|---|
 | PAM | CLARA | DBSCAN |
Purity | 0.578947 | 0.631578 | 0.708512 |
Homogeneity | 0.853526 | 0.879624 | 0.895275 |
Completeness | 0.758264 | 0.782356 | 0.786854 |
V-measure | 0.814447 | 0.805181 | 0.83757 |
Precision | 0.40369 | 0.415365 | 0.42152 |
Recall | 0.24856 | 0.25634 | 0.25655 |
F-measure | 0.307677 | 0.317028 | 0.318966 |
Rand index | 0.785364 | 0.796352 | 0.814561 |