122 search results - page 1 / 25 » Scalable and Interpretable Data Representation for High-Dime... |
MMAS
2011
Springer
13 years 12 days ago
2011
Springer
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
BMEI
2008
IEEE
13 years 7 months ago
2008
IEEE
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
APWEB
2006
Springer
13 years 9 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
ICML
1995
IEEE
14 years 6 months ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
ICDE
2002
IEEE
14 years 6 months ago
2002
IEEE
Nearest Neighbor search is an important and widely used problem in a number of important application domains. In many of these domains, the dimensionality of the data representati...