292 search results - page 27 / 59 » Discriminative K-means for Clustering |
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
PRL
2002
13 years 7 months ago
2002
Missing data handling is an important preparation step for most data discrimination or mining tasks. Inappropriate treatment of missing data may cause large errors or false result...
SEMCO
2007
IEEE
14 years 1 months ago
2007
IEEE
A clustering method is presented which can be applied to knowledge bases storing semantically annotated resources. The method can be used to discover groupings of structured objec...
DMIN
2006
13 years 9 months ago
2006
Medical data is often presented as free text in the form of medical reports. Such documents contain important information about patients, disease progression and management, but ar...
NIPS
2003
13 years 9 months ago
2003
A novel approach to combining clustering and feature selection is presented. It implements a wrapper strategy for feature selection, in the sense that the features are directly se...