Clustering performance can often be greatly improved by
leveraging side information. In this paper, we consider constrained
clustering with pairwise constraints, which specify
s...
Abstract--The Affinity Propagation (AP) clustering algorithm proposed by Frey and Dueck (2007) provides an understandable, nearly optimal summary of a data set. However, it suffers...
Soft constraints are a generalization of classical constraints, which allow for the description of preferences rather than strict requirements. In soft constraints, constraints and...
Soft constraints based on semirings are a generalization of classical constraints, where tuples of variables' values in each soft constraint are uniquely associated to element...
Combining mutually redundant models with channelling constraints increases constraint propagation. However, the extra computation efforts of the additional variables and constraint...