1061 search results - page 30 / 213 » Massive Data Pre-Processing with a Cluster Based Approach |
BIOINFORMATICS
2007
13 years 7 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...
BMCBI
2010
13 years 4 months ago
2010
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
ICDM
2003
IEEE
14 years 19 days ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
IDA
2009
Springer
13 years 5 months ago
2009
Springer
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...