292 search results - page 7 / 59 » Discriminative K-means for Clustering |
ACL
2009
13 years 5 months ago
2009
We present a simple and scalable algorithm for clustering tens of millions of phrases and use the resulting clusters as features in discriminative classifiers. To demonstrate the ...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Many existing spectral clustering algorithms share a conventional graph partitioning criterion: normalized cuts (NC). However, one problem with NC is that it poorly captures the g...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
CICLING
2007
Springer
14 years 1 months ago
2007
Springer
Ambiguous person names are a problem in many forms of written text, including that which is found on the Web. In this paper we explore the use of unsupervised clustering techniques...
TNN
2010
13 years 2 months ago
2010
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...