19 search results - page 2 / 4 » Density Biased Sampling: An Improved Method for Data Mining ... |
INCDM
2010
Springer
13 years 7 months ago
2010
Springer
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
SDM
2003
SIAM
13 years 10 months ago
2003
SIAM
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
PKDD
2010
Springer
13 years 6 months ago
2010
Springer
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...