4526 search results - page 150 / 906 » An overview of clustering methods |
UM
2009
Springer
14 years 3 months ago
2009
Springer
Clustering of search results has been shown to be advantageous over the simple list presentation of search results. However, in most clustering interfaces, the clusters are not ada...
BMCBI
2008
13 years 9 months ago
2008
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
SIGMOD
2001
ACM
14 years 9 months ago
2001
ACM
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
BMCBI
2008
13 years 9 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
The following article presents a novel, adaptive initialization scheme that can be applied to most state-of-the-art Speaker Diarization algorithms, i.e. algorithms that use agglom...