234 search results - page 22 / 47 » Spectral Clustering with Perturbed Data |
AAAI
2004
13 years 9 months ago
2004
Qualitative assessment of scientific computations is an emerging application area that applies a data-driven approach to characterize, at a high level, phenomena including conditi...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
Modeling data by multiple low-dimensional planes is an important problem in many applications such as computer vision and pattern recognition. In the most general setting where on...
IGARSS
2009
13 years 5 months ago
2009
We have explored in this paper a framework to test in a quantitative manner the stability of different endmember extraction and spectral unmixing algorithms based on the concept o...