396 search results - page 11 / 80 » Lossy Reduction for Very High Dimensional Data |
IV
2007
IEEE
15 years 3 months ago
2007
IEEE
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
BMEI
2008
IEEE
14 years 11 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...
CSB
2003
IEEE
15 years 2 months ago
2003
IEEE
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
APVIS
2010
14 years 7 months ago
2010
In this paper, we propose an approach of clustering data in parallel coordinates through interactive local operations. Different from many other methods in which clustering is glo...
ICPR
2000
IEEE
15 years 1 months ago
2000
IEEE
For many pattern recognition methods, high recognition accuracy is obtained at very high expense of computational cost. In this paper, a new algorithm that reduces the computation...