693 search results - page 27 / 139 » Outlier-aware robust clustering |
BMCBI
2008
14 years 10 months ago
2008
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
EUC
2006
Springer
15 years 1 months ago
2006
Springer
In this paper, we propose a hierarchical architecture for grouping peers into clusters in a large-scale BitTorrent-like underlying overlay network in such a way that clusters are e...
ESANN
2007
14 years 11 months ago
2007
This paper presents a new algorithm for clustering. It is an generalisation of the K-means algorithms . Each cluster will be represented by a chain of prototypes instead of being r...
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Competitive learning approaches with penalization or cooperation mechanism have been applied to unsupervised data clustering due to their attractive ability of automatic ...
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The standard, ad-hoc stopping criteria used in decision tree-based context clustering are known to be sub-optimal and require parameters to be tuned. This paper proposes a new app...