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We present a discussion of the paper "Bayesian cluster analysis: pointestimation and credible balls" by Wade and Ghahramani. We believe that thispaper contributes substantially to the literature on Bayesian clustering byfilling in an important methodological gap, by providing a means to assess theuncertainty around a point estimate of the optimal clustering solution based ona given loss function. In our discussion we reflect on the characterisation ofuncertainty around the Bayesian optimal partition, revealing other possiblealternatives that may be viable. In addition, we suggest other importantextensions of the approach proposed which may lead to wider applicability.

Discussion of the article "Bayesian cluster analysis: point estimation and credible balls" by Wade and Ghahramani