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Table 6 Comparison of clustering methods

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