73 search results - page 3 / 15 » Missing Values Imputation for a Clustering Genetic Algorithm |
ICTAI
2008
IEEE
14 years 6 days ago
2008
IEEE
It is difficult to learn good classifiers when training data is missing attribute values. Conventional techniques for dealing with such omissions, such as mean imputation, general...
WCE
2007
13 years 7 months ago
2007
— Imputation of missing data is important in many areas, such as reducing non-response bias in surveys and maintaining medical documentation. Nearest neighbour (NN) imputation al...
BMCBI
2007
13 years 5 months ago
2007
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
BIOINFORMATICS
2007
13 years 5 months ago
2007
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
JCP
2006
13 years 5 months ago
2006
Most Gene Regulatory Network (GRN) studies ignore the impact of the noisy nature of gene expression data despite its significant influence upon inferred results. This paper present...