Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...
– When implementing public key security ser- easy for an adversary to collect data and attack. To solve this vices in mobile ad hoc networks (MANETs), multiple problem, the distr...
Ying Dong, Ai Fen Sui, Siu-Ming Yiu, Victor O. K. ...
Due to the structural heterogeneity of XML, queries are often interpreted approximately. This is achieved by relaxing the query and ranking the results based on their relevance to ...
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...