Sciweavers

45 search results - page 1 / 9
» Clustering Adjectives for Class Discovery
Sort
View
EACL
2003
ACL Anthology
13 years 6 months ago
Clustering Adjectives for Class Discovery
Gemma Boleda, Laura Alonso Alemany
BMCBI
2004
181views more  BMCBI 2004»
13 years 4 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
BMCBI
2010
164views more  BMCBI 2010»
13 years 2 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
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...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
BMCBI
2010
153views more  BMCBI 2010»
13 years 5 months ago
Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
Eva Freyhult, Mattias Landfors, Jenny Önskog,...
JUCS
2002
93views more  JUCS 2002»
13 years 4 months ago
On the Semiautomatic Generation of WordNet Type Synsets and Clusters
: WordNet (WN) is a lexical knowledge base, first developed for English and then adopted for several Western European languages, which was created as a machinereadable dictionary b...
Florentina Hristea