1 INTRODUCTION  
Deep single-view clustering •  
Deep clustering based on semi-supervised learning •  
Deep clustering based on multi-view learning •  
Deep clustering based on transfer learning •

2 DEFINITIONS AND PRELIMINARIES

3 DEEP SINGLE-VIEW CLUSTERING

4 SEMI-SUPERVISED DEEP CLUSTERING

5 DEEP MULTI-VIEW CLUSTERING

6 DEEP CLUSTERING WITH TRANSFER LEARNING  
Massive complex data processing •  
used on the target domain.

7 FUTURE DIRECTIONS OF DEEP CLUSTERING  
Theoretical exploration •  
Model efficiency •  
Fusion of multi-view data •  
Deep clustering based on graph learning •

8 SUMMARY OF DEEP CLUSTERING METHODS