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» Finding Groups in Data: Cluster Analysis with Ants
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EDBT
2009
ACM
81views Database» more  EDBT 2009»
15 years 4 months ago
Exploiting similarity-aware grouping in decision support systems
Decision Support Systems (DSS) are information systems that support decision making processes. In many scenarios these systems are built on top of data managed by DBMSs and make e...
Yasin N. Silva, Muhammad U. Arshad, Walid G. Aref
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
15 years 5 months ago
Efficient Clustering for Orders
Lists of ordered objects are widely used as representational forms. Such ordered objects include Web search results or best-seller lists. Clustering is a useful data analysis tech...
Toshihiro Kamishima, Shotaro Akaho
BMCBI
2008
104views more  BMCBI 2008»
14 years 12 months ago
Missing value imputation improves clustering and interpretation of gene expression microarray data
Background: Missing values frequently pose problems in gene expression microarray experiments as they can hinder downstream analysis of the datasets. While several missing value i...
Johannes Tuikkala, Laura Elo, Olli Nevalainen, Ter...
BMCBI
2008
121views more  BMCBI 2008»
14 years 12 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...
BMCBI
2004
124views more  BMCBI 2004»
14 years 11 months ago
Tests for finding complex patterns of differential expression in cancers: towards individualized medicine
Background: Microarray studies in cancer compare expression levels between two or more sample groups on thousands of genes. Data analysis follows a population-level approach (e.g....
James Lyons-Weiler, Satish Patel, Michael J. Becic...