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SIGMOD
2003
ACM
163views Database» more  SIGMOD 2003»
16 years 5 months ago
Multi-Dimensional Clustering: A New Data Layout Scheme in DB2
We describe the design and implementation of a new data layout scheme, called multi-dimensional clustering, in DB2 Universal Database Version 8. Many applications, e.g., OLAP and ...
Sriram Padmanabhan, Bishwaranjan Bhattacharjee, Ti...
125
Voted
BIRTHDAY
2010
Springer
15 years 8 months ago
Clustering the Normalized Compression Distance for Influenza Virus Data
The present paper analyzes the usefulness of the normalized compression distance for the problem to cluster the hemagglutinin (HA) sequences of influenza virus data for the HA gene...
Kimihito Ito, Thomas Zeugmann, Yu Zhu
146
Voted
BMCBI
2010
144views more  BMCBI 2010»
15 years 5 months ago
Finding sRNA generative locales from high-throughput sequencing data with NiBLS
Background: Next-generation sequencing technologies allow researchers to obtain millions of sequence reads in a single experiment. One important use of the technology is the seque...
Daniel MacLean, Vincent Moulton, David J. Studholm...
164
Voted
GCB
2003
Springer
105views Biometrics» more  GCB 2003»
15 years 10 months ago
In silico prediction of UTR repeats using clustered EST data
Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...
Stefan A. Rensing, Daniel Lang, Ralf Reski
CIARP
2008
Springer
15 years 7 months ago
Cluster Stability Assessment Based on Theoretic Information Measures
Abstract. Cluster validation to determine the right number of clusters is an important issue in clustering processes. In this work, a strategy to address the problem of cluster val...
Damaris Pascual, Filiberto Pla, José Salvad...