671 search results - page 4 / 135 » Mean shift-based clustering |
CLASSIFICATION
2010
13 years 2 months ago
2010
: The issue of determining "the right number of clusters" in K-Means has attracted considerable interest, especially in the recent years. Cluster intermix appears to be a...
CGF
2010
13 years 2 months ago
2010
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
IHI
2010
13 years 5 days ago
2010
Unsupervised word sense discrimination relies on the idea that words that occur in similar contexts will have similar meanings. These techniques cluster multiple contexts in which...
ISAAC
2005
Springer
13 years 10 months ago
2005
Springer
In this paper we study the k-means clustering problem. It is well-known that the general version of this problem is NP-hard. Numerous approximation algorithms have been proposed fo...
PODS
2004
ACM
14 years 5 months ago
2004
ACM
