12 search results - page 2 / 3 » A method for initialising the K-means clustering algorithm u... |
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
KES
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. This work presents a clustering method which can be applied to relational knowledge bases. Namely, it can be used to discover interesting groupings of semantically annota...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
The scope of the well-known k-means algorithm has been
broadly extended with some recent results: first, the k-
means++ initialization method gives some approximation
guarantees...
ERCIMDL
2000
Springer
13 years 8 months ago
2000
Springer
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
ICCV
2011
IEEE
12 years 5 months ago
2011
IEEE
We consider the problem of quantizing data generated from disparate sources, e.g. subjects performing actions with different styles, movies with particular genre bias, various con...