Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Clustering-based approaches for abnormal video event detection have been proven to be effective in the recent literature. Based on the framework proposed in our previous work [1],...
Ad hoc sensor networks consist of large number of wireless sensors that communicate with each other in the absence of a xed infrastructure. Fast self-reconguration and power eci...
An important aspect in social computing is the structure of social networks, which build the underlying substrate for the exchange of information. With the growing importance of mi...
Abstract. The paper presents a clustering method which can be applied to populated ontologies for discovering interesting groupings of resources therein. The method exploits a simp...