1 INTRODUCTION  
2 PRELIMINARY  
3 REPRESENTATION LEARNING MODULE  
4 CLUSTERING MODULE  
5 TAXONOMY OF DEEP CLUSTERING  
6 DATASETS AND EVALUATION METRICS  
7 APPLICATIONS  
8 FUTURE DIRECTIONS  
9 CONCLUSION