89 search results - page 4 / 18 » A Fast Algorithm for Finding Correlation Clusters in Noise D... |
SIGMOD
2000
ACM
14 years 7 days ago
2000
ACM
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
SAC
2004
ACM
14 years 1 months ago
2004
ACM
Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...
DATAMINE
1999
13 years 7 months ago
1999
The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...
ICDE
2009
IEEE
14 years 9 months ago
2009
IEEE
Existing 3D clustering algorithms on gene ? sample ? time expression data do not consider the time lags between correlated gene expression patterns. Besides, they either ignore the...
BMCBI
2006
13 years 8 months ago
2006
Background: The recent advancement of microarray technology with lower noise and better affordability makes it possible to determine expression of several thousand genes simultane...