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AUSAI
2009
Springer
14 years 14 days ago
Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis
Abstract. Spectral co-clustering is a generic method of computing coclusters of relational data, such as sets of documents and their terms. Latent semantic analysis is a method of ...
Laurence A. F. Park, Christopher Leckie, Kotagiri ...
ICML
2003
IEEE
14 years 10 months ago
The Pre-Image Problem in Kernel Methods
In this paper, we address the problem of finding the pre-image of a feature vector in the feature space induced by a kernel. This is of central importance in some kernel applicatio...
James T. Kwok, Ivor W. Tsang
ACL
2000
13 years 10 months ago
Inducing Probabilistic Syllable Classes Using Multivariate Clustering
An approach to automatic detection of syllable structure is presented. We demonstrate a novel application of EM-based clustering to multivariate data, exempli ed by the induction ...
Karin Müller, Bernd Möbius, Detlef Presc...
BMCBI
2010
106views more  BMCBI 2010»
13 years 9 months ago
A novel approach for haplotype-based association analysis using family data
Background: Haplotype-based approaches have been extensively studied for case-control association mapping in recent years. It has been shown that haplotype methods can provide mor...
Yixuan Chen, Xin Li, Jing Li
ICML
2001
IEEE
14 years 10 months ago
Constrained K-means Clustering with Background Knowledge
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...