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» From Comparing Clusterings to Combining Clusterings
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CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
13 years 10 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu
IMCSIT
2010
13 years 7 months ago
Learning taxonomic relations from a set of text documents
This paper presents a methodology for learning taxonomic relations from a set of documents that each explain one of the concepts. Three different feature extraction approaches with...
Mari-Sanna Paukkeri, Alberto Pérez Garc&iac...
CLUSTER
2003
IEEE
14 years 2 months ago
Performance Analysis of Java Message-Passing Libraries on Fast Ethernet, Myrinet and SCI Clusters
The use of Java for parallel programming on clusters according to the message-passing paradigm is an attractive choice. In this case, the overall application performance will larg...
Guillermo L. Taboada, Juan Touriño, Ramon D...
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
14 years 9 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
14 years 1 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