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Table 3.
Evaluation of Clustering Results.
Clustering MethodSilhouette ScoreCalinski Harabasz ScoreDavies Bouldin Score
BoW + K-Means 0.012 103.782 7.049 
AE + K-Means 0.077 305.344 5.398 
Self-Taught CNN + K-means 0.557 97,756.102 0.731 
Clustering MethodSilhouette ScoreCalinski Harabasz ScoreDavies Bouldin Score
BoW + K-Means 0.012 103.782 7.049 
AE + K-Means 0.077 305.344 5.398 
Self-Taught CNN + K-means 0.557 97,756.102 0.731 

aNumber of clusters is 6.

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