982 search results - page 14 / 197 » Hierarchical comments-based clustering |
EGPGV
2004
Springer
14 years 1 months ago
2004
Springer
Data coming from complex simulation models reach easily dimensions much greater than available computational resources. Visualization of such data still represents the most intuit...
SSDBM
2007
IEEE
14 years 2 months ago
2007
IEEE
In high dimensional data, clusters often only exist in arbitrarily oriented subspaces of the feature space. In addition, these so-called correlation clusters may have complex rela...
DAWAK
2003
Springer
14 years 28 days ago
2003
Springer
Abstract In data clustering, many approaches have been proposed. For example, K-means method and hierarchical method. A problem is in effect by initial value and criterion to comb...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
EM algorithm is an important unsupervised clustering algorithm, but the algorithm has several limitations. In this paper, we propose a fast EM algorithm (FEMA) to address the limi...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...