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Table 1 Evaluation metrics for the Clu-AE approach obtained using all the 64 extracted features. In bold the best performance for each index

From: Unsupervised deep learning techniques for automatic detection of plant diseases: reducing the need of manual labelling of plant images

 

aSC

DB

2 clusters

0.17056

2.33102

3 clusters

0.13617

2.21739

4 clusters

0.14190

2.14507