56 search results - page 4 / 12 » Finding Clusters and Components by Unsupervised Learning |
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
72
Voted
HT
2010
ACM
14 years 11 months ago
2010
ACM
In this paper we are interested in describing Web pages by how users interact within their contents. Thus, an alternate but complementary way of labelling and classifying Web docu...
IDA
2002
Springer
14 years 9 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
We consider the problem of image segmentation by clustering local histograms with parametric mixture-of-mixture models. These models represent each cluster by a single mixture mod...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...