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APNOMS
2006
Springer
15 years 1 months ago
Zone-Based Clustering for Intrusion Detection Architecture in Ad-Hoc Networks
Setting up an IDS architecture on ad-hoc network is hard because it is not easy to find suitable locations to setup IDS's. One way is to divide the network into a set of clust...
Il-Yong Kim, Yoo-Sung Kim, Ki-Chang Kim
ICML
2006
IEEE
15 years 10 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
15 years 10 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
ATAL
2006
Springer
15 years 1 months ago
Efficient agent-based cluster ensembles
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
Adrian K. Agogino, Kagan Tumer