234 search results - page 31 / 47 » Spectral Clustering with Perturbed Data |
CCGRID
2006
IEEE
14 years 1 months ago
2006
IEEE
There is a growing need for systems that can monitor and analyze application performance data automatically in order to deliver reliable and sustained performance to applications....
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
DAS
2008
Springer
13 years 9 months ago
2008
Springer
In this paper we explore the effectiveness of three clustering methods used to perform word image indexing. The three methods are: the Self-Organazing Map (SOM), the Growing Hiera...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
EMNLP
2009
13 years 5 months ago
2009
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...