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CIKM
1999
Springer
15 years 6 months ago
Clustering Transactions Using Large Items
In traditional data clustering, similarity of a cluster of objects is measured by pairwise similarity of objects in that cluster. We argue that such measures are not appropriate f...
Ke Wang, Chu Xu, Bing Liu
ICPR
2008
IEEE
16 years 2 months ago
Time-series clustering by approximate prototypes
Clustering time-series data poses problems, which do not exist in traditional clustering in Euclidean space. Specifically, cluster prototype needs to be calculated, where common s...
Pasi Fränti, Pekka Nykänen, Ville Hautam...
AI
2005
Springer
15 years 7 months ago
Towards an Ontology-Based Spatial Clustering Framework
Spatial clustering is an important topic in knowledge discovery research. However, most clustering methods do not consider semantic information during the clustering process. In th...
Xin Wang, Howard J. Hamilton
111
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INDIASE
2009
ACM
15 years 8 months ago
Computing dynamic clusters
When trying to reverse engineer software, execution trace analysis is increasingly used. Though, by using this technique we are quickly faced with an enormous amount of data that ...
Philippe Dugerdil, Sebastien Jossi
ICDCSW
2005
IEEE
15 years 7 months ago
Cluster-Based Intelligent Searching in Unstructured Peer-to-Peer Networks
Existing cluster-based searching schemes in unstructured peer-to-peer (P2P) networks employ flooding/random forwarding on connected dominating sets (CDS) of networks. There exist...
Xiuqi Li, Jie Wu