543 search results - page 3 / 109 » An Experimental Comparison of Several Clustering and Initial... |
PRIS
2004
13 years 8 months ago
2004
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
BMCBI
2004
13 years 7 months ago
2004
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
ICAI
2004
13 years 8 months ago
2004
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
DAS
2008
Springer
13 years 9 months ago
2008
Springer
In this paper we explore the effectiveness of three clustering methods used to perform word image indexing. The three methods are: the Self-Organazing Map (SOM), the Growing Hiera...
EMMCVPR
2001
Springer
13 years 12 months ago
2001
Springer
After [15, 31, 19, 8, 25, 5] minimum cut/maximum flow algorithms on graphs emerged as an increasingly useful tool for exact or approximate energy minimization in low-level vision...