586 search results - page 16 / 118 » Unsupervised Clustering In Streaming Data |
CVPR
2008
IEEE
15 years 12 months ago
2008
IEEE
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
CVPR
2005
IEEE
15 years 12 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
DAWAK
2004
Springer
15 years 3 months ago
2004
Springer
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...
KDD
2001
ACM
15 years 10 months ago
2001
ACM
Many applications dealing with textual information require classification of words into semantic classes (or concepts). However, manually constructing semantic classes is a tediou...
SOCIALCOM
2010
14 years 7 months ago
2010
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...