1887 search results - page 59 / 378 » Clustering with Local Restrictions |
IDA
2009
Springer
15 years 2 months ago
2009
Springer
Although k-means clustering is often applied to time series clustering, the underlying Euclidean distance measure is very restrictive in comparison to the human perception of time ...
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BMCBI
2011
14 years 4 months ago
2011
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
WG
2007
Springer
15 years 3 months ago
2007
Springer
Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines, and in particular in the compl...
CVPR
2006
IEEE
15 years 3 months ago
2006
IEEE
The mean shift algorithm is widely applied for nonparametric clustering in Euclidean spaces. Recently, mean shift was generalized for clustering on matrix Lie groups. We further e...
ICDE
2010
IEEE
14 years 10 months ago
2010
IEEE
— Constrained clustering (semi-supervised learning) techniques have attracted more attention in recent years. However, the commonly used constraints are restricted to the instanc...