Sciweavers

1400 search results - page 175 / 280
» Bayesian hierarchical clustering
Sort
View
159
Voted
UAI
2000
15 years 7 months ago
Minimum Message Length Clustering Using Gibbs Sampling
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
Ian Davidson
JBI
2004
171views Bioinformatics» more  JBI 2004»
15 years 7 months ago
Consensus Clustering and Functional Interpretation of Gene Expression Data
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
Paul Kellam, Stephen Swift, Allan Tucker, Veronica...
BMCBI
2007
134views more  BMCBI 2007»
15 years 6 months ago
Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
ICPADS
2006
IEEE
16 years 7 days ago
The Node Monitoring Component of a Scalable Systems Software Environment
We describe Fountain, an implementation of the Scalable Systems Software node monitor specification targeted at aggregate node monitoring for clusters. Fountain is designed from ...
Sam Miller, Brett Bode
TSD
2001
Springer
15 years 10 months ago
Finding Semantically Related Words in Large Corpora
The paper deals with the linguistic problem of fully automatic grouping of semantically related words. We discuss the measures of semantic relatedness of basic word forms and descr...
Pavel Smrz, Pavel Rychlý