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» Algorithms for Clustering Data
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SGP
2004
13 years 10 months ago
Two Algorithms for Fast Reclustering of Dynamic Meshed Surfaces
Numerous mesh algorithms such as parametrization, radiosity, and collision detection require the decomposition of meshes into a series of clusters. In this paper we present two no...
Nathan A. Carr, John C. Hart
ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
14 years 1 months ago
Clustering Item Data Sets with Association-Taxonomy Similarity
We explore in this paper the efficient clustering of item data. Different from those of the traditional data, the features of item data are known to be of high dimensionality and...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen
PKDD
2010
Springer
146views Data Mining» more  PKDD 2010»
13 years 6 months ago
Nonparametric Bayesian Clustering Ensembles
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
Pu Wang, Carlotta Domeniconi, Kathryn Blackmond La...
EUROPAR
1999
Springer
14 years 9 days ago
Parallel k/h-Means Clustering for Large Data Sets
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
Kilian Stoffel, Abdelkader Belkoniene
SSDBM
2006
IEEE
123views Database» more  SSDBM 2006»
14 years 2 months ago
Mining Hierarchies of Correlation Clusters
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
Elke Achtert, Christian Böhm, Peer Kröge...