Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics of current interest. This paper describes an application of DE to the aut...
Web users are always distracted by a large number of results returned from search engines. Clustering can efficiently facilitate users’ browsing pages of certain topic. However...
In this paper, we propose a new algorithm for extending the hierarchical clustering methods and introduce a Multi-View Agglomerative Clustering approach to handle multi-view repre...