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» Interactively Exploring Hierarchical Clustering Results
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HICSS
2006
IEEE
118views Biometrics» more  HICSS 2006»
15 years 3 months ago
Quantitative Measures for Evaluating Knowledge Network Node Clusters: Preliminary Results
One viewpoint of a knowledge network is a knowledge map that clusters similar knowledge sources into knowledge domains. What is needed is an automatic mapping tool that 1) takes t...
Mark Pendergast, Richard Orwig
BMCBI
2008
132views more  BMCBI 2008»
14 years 9 months ago
Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of
Background: Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analys...
Raffaele Giancarlo, Davide Scaturro, Filippo Utro
BTW
2007
Springer
142views Database» more  BTW 2007»
15 years 3 months ago
Visually Exploring and Querying XML with BaseX
Abstract: XML documents are widely used as a generic container for textual contents. As they are increasingly growing in size, XML databases have come up to efficiently store and q...
Christian Grün, Alexander Holupirek, Marc H. ...
BMCBI
2010
160views more  BMCBI 2010»
14 years 9 months ago
Identification of functional hubs and modules by converting interactome networks into hierarchical ordering of proteins
Background: Protein-protein interactions play a key role in biological processes of proteins within a cell. Recent high-throughput techniques have generated protein-protein intera...
Young-Rae Cho, Aidong Zhang
SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
14 years 10 months ago
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
Alípio Jorge