364 search results - page 7 / 73 » Uncertain Clustering: Models, Methods and Applications |
CDC
2009
IEEE
15 years 1 months ago
2009
IEEE
— In this paper, a new method to design an observer for nonlinear systems described by Takagi-Sugeno (TS) model, with unmeasurable premise variables, is proposed. Most of existin...
91
Voted
BMCBI
2010
14 years 9 months ago
2010
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
66
Voted
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
71
Voted
SOCO
2008
Springer
14 years 9 months ago
2008
Springer
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
The self-organizing map SOM is widely used as a data visualization method in various engineering applications. It performs a non-linear mapping from a high-dimensional data spac...