Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
Marcus Weber, Wasinee Rungsarityotin, Alexander Sc...
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...
Agent-oriented software is promising improvements especially for the design of distributed systems. But currently, there is a substantial gap between the massive number of publica...
We study a number of open issues in spectral clustering: (i) Selecting the appropriate scale of analysis, (ii) Handling multi-scale data, (iii) Clustering with irregular backgroun...
As the complexity of software increases, the size of the software tends to increase as well, which incurs longer compilation and build cycles. In this paper, the authors present o...