A Variational Approach to Semi-Supervised
Peng Li, Yiming Ying and Colin Campbell
In: ESANN2009, 23-25th April 2009, Bruges, Belgium.
We present a Bayesian variational inference scheme for semi-
supervised clustering in which data is supplemented with side information
in the form of common labels. There is no mutual exclusion of classes
assumption and samples are represented as a combinatorial mixture over
multiple clusters. We illustrate performance on six datasets and ¯nd a
positive comparison against constrained K-means clustering.