504 search results - page 2 / 101 » Clustering Item Data Sets with Association-Taxonomy Similari... |
LREC
2008
13 years 6 months ago
2008
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
EDM
2009
13 years 3 months ago
2009
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collecte...
SOCIALCOM
2010
13 years 3 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...
ITSL
2008
13 years 6 months ago
2008
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
ICDE
2003
IEEE
14 years 6 months ago
2003
IEEE
Clustering of large data bases is an important research area with a large variety of applications in the data base context. Missing in most of the research efforts are means for g...