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SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
14 years 2 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
ICASSP
2008
IEEE
14 years 4 months ago
Abnormal event detection based on trajectory clustering by 2-depth greedy search
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],...
Fan Jiang, Ying Wu, Aggelos K. Katsaggelos
ALGOSENSORS
2006
Springer
14 years 2 months ago
Self-stabilizing Weight-Based Clustering Algorithm for Ad Hoc Sensor Networks
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-recon guration and power eci...
Colette Johnen, Le Huy Nguyen
CSE
2009
IEEE
14 years 1 months ago
Clustering Signature in Complex Social Networks
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...
Ueli Peter, Tomas Hruz
ESWS
2008
Springer
14 years 4 days ago
Conceptual Clustering and Its Application to Concept Drift and Novelty Detection
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...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito