40 search results - page 5 / 8 » Eigensolver Methods for Progressive Multidimensional Scaling... |
TITB
2008
13 years 7 months ago
2008
Medical image interpretation is facing an important challenge resulting from the continuously increasing amount of imaging data. Innovations in medical image visualization are nece...
ICPP
2000
IEEE
13 years 12 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
BMCBI
2010
13 years 7 months ago
2010
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
INFOVIS
2005
IEEE
14 years 1 months ago
2005
IEEE
Parallel Coordinates are a powerful method for visualizing multidimensional data, however, with large data sets they can become cluttered and difficult to read. On the other hand...
ICDM
2003
IEEE
14 years 22 days ago
2003
IEEE
Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...