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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