4560 search results - page 151 / 912 » Finding Data in the Neighborhood |
EMMCVPR
1997
Springer
14 years 8 days ago
1997
Springer
Abstract. In this paper a rigorous mathematical framework of deterministic annealing and mean-field approximation is presented for a general class of partitioning, clustering and ...
KDD
1997
ACM
14 years 8 days ago
1997
ACM
1 Several clustering algorithms have been proposed for class identification in spatial databases such as earth observation databases. The effectivity of the well-known algorithms ...
KDD
2010
ACM
14 years 11 hour ago
2010
ACM
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
NIPS
2007
13 years 9 months ago
2007
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...