Can You Purposely Bias A Clustering Model?
In constrained clustering you can provide examples of objects that should, or that must not, be in the same cluster.

This can be used, e.g., for model selection: run several times and return the result with the fewest violations. Or to guide cluster extraction from a hierarchical result.