110 search results - page 1 / 22 » Finding Generalized Projected Clusters In High Dimensional S... |
SIGMOD
2000
ACM
14 years 1 months ago
2000
ACM
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
APWEB
2006
Springer
14 years 1 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
ICDE
2008
IEEE
14 years 10 months ago
2008
IEEE
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
NN
2002
Springer
13 years 9 months ago
2002
Springer
A new neural network architecture (PART) and the resulting algorithm are proposed to