875 search results - page 45 / 175 » Linear Manifold Clustering |
IJCAI
2007
13 years 11 months ago
2007
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
WAIM
2009
Springer
14 years 4 months ago
2009
Springer
Finding linear correlations in dataset is an important data mining task, which can be widely applied in the real world. Existing correlation clustering methods combine clustering w...
CORR
2007
Springer
13 years 9 months ago
2007
Springer
In recent years, spectral clustering has become one of the most popular modern clustering algorithms. It is simple to implement, can be solved efficiently by standard linear algeb...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
Given a set of data points drawn from multiple low-dimensional linear subspaces of a high-dimensional space, we consider the problem of clustering these points according to the su...
SDM
2009
SIAM
14 years 7 months ago
2009
SIAM
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...