1775 search results - page 93 / 355 » Learning Spectral Clustering |
DEXAW
2007
IEEE
15 years 4 months ago
2007
IEEE
In this paper, we examine the application of manifold learning to the clustering problem. The method used is Locality Preserving Projections (LPP), which is chosen because of its ...
TKDE
2008
14 years 10 months ago
2008
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
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ICDE
2008
IEEE
15 years 11 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
TIP
2008
14 years 10 months ago
2008
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
MLDM
2005
Springer
15 years 3 months ago
2005
Springer
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...