1051 search results - page 47 / 211 » An algorithm for the principal component analysis of large d... |
BMCBI
2010
13 years 8 months ago
2010
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
CCGRID
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
PADL
2009
Springer
14 years 8 months ago
2009
Springer
Analysis of biological data often involves large data sets and computationally expensive algorithms. Databases of biological data continue to grow, leading to an increasing demand ...
WWW
2007
ACM
14 years 8 months ago
2007
ACM
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
ICONIP
2007
13 years 9 months ago
2007
In the paper, we present a new approach to multi-way Blind Source Separation (BSS) and corresponding 3D tensor factorization that has many potential applications in neuroscience an...