Evaluation Clustering methods
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There are many evaluation measures available like entropy, recall, precision, F-measure, silhouette co-efficient, purity, inverse purity for improving cluster‘s accuracy, efficiency and result.
1. Recall=A/(A+B), where A is the true positive, B is the false negative
Pecision = A/(A+C), where C is the false positive
F-measure=2*Precision*recall/ (precision+recall)
2. Purity, Silhouette co-efficient:
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