39 search results - page 1 / 8 » Spectral clustering for multi-type relational data |
ESANN
2007
13 years 6 months ago
2007
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
ACL
2006
13 years 5 months ago
2006
This paper presents an unsupervised learning approach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. I...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
Clustering on multi-type relational data has attracted more and more attention in recent years due to its high impact on various important applications, such as Web mining, e-comm...
ICONIP
2008
13 years 6 months ago
2008
In this paper we present a comparison of multiple cluster algorithms and their suitability for clustering text data. The clustering is based on similarities only, employing the Kol...
NIPS
2008
13 years 6 months ago
2008
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...