766 search results - page 74 / 154 » Clustering high dimensional data using subspace and projecte... |
BMCBI
2008
13 years 9 months ago
2008
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
BMCBI
2006
13 years 8 months ago
2006
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
CSB
2003
IEEE
14 years 2 months ago
2003
IEEE
DNA microarray technology provides a broad snapshot of the state of the cell by measuring the expression levels of thousands of genes simultaneously. Visualization techniques can ...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...