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» A Method for Dynamic Clustering of Data
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MLDM
2005
Springer
15 years 5 months ago
Clustering Large Dynamic Datasets Using Exemplar Points
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
William Sia, Mihai M. Lazarescu
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
16 years 1 days ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
FLAIRS
2007
15 years 2 months ago
Improving Cluster Method Quality by Validity Indices
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
Narjes Hachani, Habib Ounelli
ICDCSW
2005
IEEE
15 years 5 months ago
Bandwidth Clustering for Reliable and Prioritized Network Routing Using Split Agent-Based Method
Recent researches have highlighted the importance of developing a network with distributed problem solving abilities thus enhancing reliability with equal share of network resourc...
Constandinos X. Mavromoustakis, Helen D. Karatza
SISAP
2009
IEEE
159views Data Mining» more  SISAP 2009»
15 years 6 months ago
Dynamic P2P Indexing and Search Based on Compact Clustering
Abstract—We propose a strategy to perform query processing on P2P similarity search systems based on peers and superpeers. We show that by approximating global but resumed inform...
Mauricio Marín, Veronica Gil Costa, Cecilia...