693 search results - page 29 / 139 » Outlier-aware robust clustering |
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BILDMED
2011
14 years 1 months ago
2011
Abstract. Robust and accurate automatic detection of anatomical features on organic shapes is a challenging task. Despite a rough similarity, each shape is unique. To cope with thi...
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APWEB
2006
Springer
15 years 1 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
BIBE
2007
IEEE
14 years 11 months ago
2007
IEEE
—In this paper, we have modified a constrained clustering algorithm to perform exploratory analysis on gene expression data using prior knowledge presented in the form of constr...
PRL
2007
14 years 9 months ago
2007
This paper proposes a novel nonparametric clustering algorithm capable of identifying shape-free clusters. This algorithm is based on a nonparametric estimation of the normalized ...
PAKDD
2005
ACM
15 years 3 months ago
2005
ACM
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...