126 search results - page 7 / 26 » A dependence maximization view of clustering |
NIPS
2004
13 years 9 months ago
2004
We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...
ICGI
2004
Springer
14 years 1 months ago
2004
Springer
The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given by a hyp...
AAAI
2010
13 years 9 months ago
2010
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Mass-produced goods tend to be highly standardized in order to maximize manufacturing efficiencies. Some high-value goods with limited production quantities remain much less stand...