114 search results - page 17 / 23 » OP-Cluster: Clustering by Tendency in High Dimensional Space |
EMMCVPR
2001
Springer
13 years 12 months ago
2001
Springer
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Clustering on multi-type relational data has attracted more and more attention in recent years due to its high impact on various important applications, such as Web mining, e-comm...
IIS
2003
13 years 8 months ago
2003
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...
SIGIR
2003
ACM
14 years 22 days ago
2003
ACM
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Filtering based algorithms have become popular in tracking human body pose. Such algorithms can suffer the curse of dimensionality due to the high dimensionality of the pose state ...