K-mode

[ma1f]

I would like to auto cluster high dimensional binary (true/false) data, believe k-mode would be more appropriate then k-means for this scenario.

Are there plans to support further clustering algorithms, including k-mode?

[michaelgsharp]

@briacht for visibility.

[justinormont]

In practice, I think you'll get a similar result by running k-means.

Expanding beyond your boolean data to categorical data, there can be some speed and memory savings of using k-modes vs. k-means + one-hot encoding on categorical data. I haven't tried, though there's likely advantages in having the additional distance (dissimilarity) functions.

For future clustering algos in ML․NET, there is existing ML․NET/TLC code (1, 2) for OPTICS and DBSCAN, which could be brought into this repo.

See also:

• [Clustering] Create/Add an additional trainer for Clustering: Affinity Propagation #4180
• Any plans to include DBSCAN algorithm for clustering? DBSCAN doesn't need the cluster number before clustering. #4729
• Hierarchical clustering  #4961
• Support for Hierarchical Clustering #5725