298 search results - page 16 / 60 » Subspace Clustering of High Dimensional Data |
DATAMINE
2007
15 years 12 days ago
2007
VISSYM
2004
15 years 1 months ago
2004
It is difficult for the average viewer to assimilate and comprehend huge amounts of high-dimensional data. It is important to present data in a way that allows the user a high lev...
NPL
1998
15 years 2 days ago
1998
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
215
Voted
ICDE
2008
IEEE
16 years 1 months ago
2008
IEEE
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
82
Voted
PR
2007
14 years 12 months ago
2007
Classical clustering algorithms are based on the concept that a cluster center is a single point. Clusters which are not compact around a single point are not candidates for class...