25 search results - page 2 / 5 » Algorithms for Bounded-Error Correlation of High Dimensional... |
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
SSDBM
2006
IEEE
13 years 11 months ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
BMCBI
2008
13 years 5 months ago
2008
Background: High-throughput methods that allow for measuring the expression of thousands of genes or proteins simultaneously have opened new avenues for studying biochemical proce...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
SAC
2004
ACM
13 years 10 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...