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» Cluster Analysis of High-Dimensional Data: A Case Study
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BIBE
2007
IEEE
155views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
Partial Mixture Model for Tight Clustering in Exploratory Gene Expression Analysis
Abstract—In this paper we demonstrate the inherent robustness of minimum distance estimator that makes it a potentially powerful tool for parameter estimation in gene expression ...
Yinyin Yuan, Chang-Tsun Li
HICSS
2006
IEEE
117views Biometrics» more  HICSS 2006»
14 years 1 months ago
Stakeholders, Contradictions and Salience: An Empirical Study of a Norwegian G2G Effort
Previous studies indicate that the expected effects of e-Government are slower to realize than initially expected. Several authors argue that e-Government involves particularly co...
Leif Skiftenes Flak, Stig Nordheim
BMCBI
2005
161views more  BMCBI 2005»
13 years 7 months ago
Non-linear mapping for exploratory data analysis in functional genomics
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
Francisco Azuaje, Haiying Wang, Alban Chesneau
IV
2005
IEEE
131views Visualization» more  IV 2005»
14 years 1 months ago
A Framework for Visualising Large Graphs
Visualising large graphs faces the challenges of both data complexity and visual complexity. This paper presents a framework for visualising large graphs that reduces data complex...
Wanchun Li, Seok-Hee Hong, Peter Eades
DKE
2008
79views more  DKE 2008»
13 years 7 months ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis