Hierarchical clustering 
- Single linkage
- Complete linkage
- Average linkage
- Ward’s linkage (including Ward’s method)
- Weighted-average linkage
- Centroid linkage
- Median linkage
Nonhierarchical 
Cluster on observations 
Cluster using any dissimilarity matrix 
Dendrograms 
- Full trees
- Subtrees
- Upper portion of tree
- Vertical or horizontal orientation
- Branch counts
Stopping rules 
- Calínski and Harabasz pseudo-F index
- Duda and Hart Je(2)/Je(1) index
Support tools
- Generate summary and grouping variables

- Attach notes to analyses

Similarity/dissimilarity measures for continuous data 
- L2/Euclidean
- L1/absolute/cityblock/manhattan
- L(#)
- Canberra
- Correlation
- Angular
Similarity/dissimilarity measures for binary data 
- Matching
- Jaccard
- Russell
- Hamann
- Dice
- Antidice
- Sneath
- Rogers
- Ochiai
- Yule
- Anderberg
- Kulczynski
- Gower2
- Pearson
Gower measure for mixed binary and continuous data 
Result-management utilities 
- Directory-style listing
- Detailed listing of clusters
- Drop cluster analyses
- Mark a cluster analysis as the most recent one
- Rename a cluster
User-extensible commands
- Ability to add new clustering methods and utilities

- Full set of tools to ease making additions

Additional resources
See New in Stata 17 to learn about what was added in Stata 17.