93 search results - page 18 / 19 » Minimum Entropy Clustering and Applications to Gene Expressi... |
BMCBI
2010
13 years 5 months ago
2010
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
BIODATAMINING
2008
13 years 5 months ago
2008
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
EDBT
2008
ACM
14 years 5 months ago
2008
ACM
In the demonstration, we will present the concepts and an implementation of an inductive database ? as proposed by Imielinski and Mannila ? in the relational model. The goal is to...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...