80 search results - page 10 / 16 » O-Cluster: Scalable Clustering of Large High Dimensional Dat... |
73
Voted
LWA
2007
14 years 11 months ago
2007
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
119
Voted
ACST
2006
14 years 11 months ago
2006
This paper investigates the applicability of distributed clustering technique, called RACHET [1], to organize large sets of distributed text data. Although the authors of RACHET c...
CCGRID
2006
IEEE
15 years 1 months ago
2006
IEEE
P2P systems represent a large portion of the Internet traffic which makes the data discovery of great importance to the user and the broad Internet community. Hence, the power of ...
80
Voted
BMCBI
2005
14 years 9 months ago
2005
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
77
Voted
SAC
2006
ACM
15 years 3 months ago
2006
ACM
We consider the problem of partitioning, in a highly accurate and highly efficient way, a set of n documents lying in a metric space into k non-overlapping clusters. We augment th...