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» A Method for Dynamic Clustering of Data
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PAMI
2008
197views more  PAMI 2008»
15 years 4 months ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...
KDD
2004
ACM
103views Data Mining» more  KDD 2004»
16 years 4 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
ICDE
2009
IEEE
202views Database» more  ICDE 2009»
16 years 6 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
ICDM
2003
IEEE
210views Data Mining» more  ICDM 2003»
15 years 9 months ago
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu...
LCN
2003
IEEE
15 years 9 months ago
A scalable method for treating bottlenecks in a dynamically controlled DiffServ environment
Differentiated Services provide a scalable Quality of Service Concept for the Internet. It allows differentiating service classes which may be treated individually. The data arisi...
Markus Albrecht, Matthias Frank, Rolf Göpffar...