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BMCBI
2011
13 years 3 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
APWEB
2005
Springer
14 years 2 months ago
Labeling Scheme and Structural Joins for Graph-Structured XML Data
When XML documents are modeled as graphs, many challenging research issues arise. In particular, query processing for graphstructured XML data brings new challenges because traditi...
Hongzhi Wang, Wei Wang 0011, Xuemin Lin, Jianzhong...
ICGI
2004
Springer
14 years 2 months ago
Identifying Clusters from Positive Data
The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given by a hyp...
John Case, Sanjay Jain, Eric Martin, Arun Sharma, ...
DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
14 years 3 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer
JCIT
2008
165views more  JCIT 2008»
13 years 8 months ago
Mining Processes using cluster approach for representing workflows
Although much attention is being paid to business Intelligence during the past decades, the design for applying business Intelligence and particularly in a workflow processes is s...
N. P. Kavya, M. V. Sathyanarayana, N. C. Naveen