PRICAI
2010
Springer
13 years 10 months ago
2010
Springer
Manifold clustering, which regards clusters as groups of points around compact manifolds, has been realized as a promising generalization of traditional clustering. A number of lin...
FLAIRS
2001
14 years 27 days ago
2001
Clustering is a discoveringprocess of meaningfulintbrmationby groupingsimilar data into compactclusters. Mostof traditional clustering methodsare in favor of small datasets andhav...
ESANN
2008
14 years 29 days ago
2008
This paper describes a new topological map dedicated to clustering under instance-level constraints. In general, traditional clustering is used in an unsupervised manner. However,...
MLDM
2005
Springer
14 years 5 months ago
2005
Springer
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
ISMIS
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. This paper centers on a novel data mining technique we term supervised clustering. Unlike traditional clustering, supervised clustering is applied to classified examples ...
ISBRA
2007
Springer
14 years 5 months ago
2007
Springer
Clustering has been one of the most popular approaches used in gene expression data analysis. A clustering method is typically used to partition genes according to their similarity...
ICPR
2008
IEEE
15 years 21 days ago
2008
IEEE
Clustering time-series data poses problems, which do not exist in traditional clustering in Euclidean space. Specifically, cluster prototype needs to be calculated, where common s...