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ACST
2006
13 years 6 months ago
Distributed hierarchical document clustering
This paper investigates the applicability of distributed clustering technique, called RACHET [1], to organize large sets of distributed text data. Although the authors of RACHET c...
Debzani Deb, M. Muztaba Fuad, Rafal A. Angryk
KES
2007
Springer
13 years 11 months ago
A Hierarchical Clustering Method for Semantic Knowledge Bases
Abstract. This work presents a clustering method which can be applied to relational knowledge bases. Namely, it can be used to discover interesting groupings of semantically annota...
Nicola Fanizzi, Claudia d'Amato
BMCBI
2008
142views more  BMCBI 2008»
13 years 4 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
13 years 4 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
APWEB
2005
Springer
13 years 10 months ago
An LOD Model for Graph Visualization and Its Application in Web Navigation
This paper presents a new method for visualizing and navigating huge graphs. The main feature of this method is that it applies Level-Of-Detail (LOD) strategy to graph visualizati...
Shixia Liu, Yue Pan, Liping Yang, Wenyin Liu