1013 search results - page 51 / 203 » Comparisons Between Data Clustering Algorithms |
IDEAL
2000
Springer
13 years 11 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
ICDE
1999
IEEE
14 years 9 months ago
1999
IEEE
Clustering partitions a collection of objects into groups called clusters, such that similar objects fall into the same group. Similarity between objects is defined by a distance ...
ICCV
2007
IEEE
14 years 2 months ago
2007
IEEE
We consider clustering situations in which the pairwise affinity between data points depends on a latent ”context” variable. For example, when clustering features arising fro...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
We introduce a framework for defining a distance on the (non-Euclidean) space of Linear Dynamical Systems (LDSs). The proposed distance is induced by the action of the group of o...