1971 search results - page 150 / 395 » A clustering method that uses lossy aggregation of data |
CGF
2011
13 years 24 days ago
2011
High-dimensional data visualization is receiving increasing interest because of the growing abundance of highdimensional datasets. To understand such datasets, visualization of th...
KDD
2010
ACM
14 years 18 days ago
2010
ACM
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
IS
2008
13 years 9 months ago
2008
Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
GECCO
2006
Springer
14 years 26 days ago
2006
Springer
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
LREC
2010
13 years 10 months ago
2010
Schulte im Walde et al. (2008) presented a novel approach to semantic verb classication. The predicate argument model (PAC) presented in their paper models selectional preferences...