EDM
2010
14 years 1 months ago
2010
We show a variety of ways to cluster student activity datasets using different clustering and subspace clustering algorithms. Our results suggest that each algorithm has its own st...
SDM
2009
SIAM
14 years 9 months ago
2009
SIAM
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
KDD
2004
ACM
15 years 25 days ago
2004
ACM
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
ICDE
2006
IEEE
15 years 1 months ago
2006
IEEE
In this paper, we propose a new model for coherent clustering of gene expression data called reg-cluster. The proposed model allows (1) the expression profiles of genes in a clust...
ICDE
2007
IEEE
15 years 1 months ago
2007
IEEE
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...