1301 search results - page 53 / 261 » Default Clustering from Sparse Data Sets |
BMCBI
2010
13 years 9 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
ISWC
2006
IEEE
14 years 3 months ago
2006
IEEE
We present an approach to activity discovery, the unsupervised identification and modeling of human actions embedded in a larger sensor stream. Activity discovery can be seen as ...
BMCBI
2008
13 years 9 months ago
2008
Background: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they pr...
SAC
2009
ACM
14 years 4 months ago
2009
ACM
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
AUSAI
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Text documents have sparse data spaces, and nearest neighbors may belong to different classes when using current existing proximity measures to describe the correlation ...