Clustering is used to generate groupings of data from a large dataset, with the intention of representing the behavior of a system as accurately as possible. In this sense, cluster...
To improve the whole dependability of large-scale cluster systems, an online fault detection mechanism is proposed in this paper. This mechanism can detect the fault in time befor...
Lowering computational cost of data analysis and visualization techniques is an essential step towards including the user in the visualization. In this paper we present an improve...
In this research, a systematic study is conducted of four dimension reduction techniques for the text clustering problem, using five benchmark data sets. Of the four methods -- Ind...
Bin Tang, Michael A. Shepherd, Malcolm I. Heywood,...
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...