This paper deals with overlapping clustering, a trade off between crisp and fuzzy clustering. It has been motivated by recent applications in various domains such as information r...
Abstract-- In this paper, we present a completely distributed algorithm for partitioning a given set of mobile nodes into clusters. The proposed algorithm tries to reduce the amoun...
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
—When comparing clustering results, any evaluation metric breaks down the available information to a single number. However, a lot of evaluation metrics are around, that are not ...
Elke Achtert, Sascha Goldhofer, Hans-Peter Kriegel...
Recent work has looked at extending clustering algorithms with instance level must-link (ML) and cannot-link (CL) background information. Our work introduces δ and ǫ cluster lev...