Discussion of the article "Bayesian cluster analysis: point estimation and credible balls" by Wade and Ghahramani
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We present a discussion of the paper "Bayesian cluster analysis: point estimation and credible balls" by Wade and Ghahramani. We believe that this paper contributes substantially to the literature on Bayesian clustering by filling in an important methodological gap, by providing a means to assess the uncertainty around a point estimate of the optimal clustering solution based on a given loss function. In our discussion we reflect on the characterisation of uncertainty around the Bayesian optimal partition, revealing other possible alternatives that may be viable. In addition, we suggest other important extensions of the approach proposed which may lead to wider applicability.
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