Sciweavers

PRICAI
2010
Springer
13 years 9 months ago
Multi-manifold Clustering
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...
Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
FLAIRS
2001
14 years 8 days ago
Hierarchical Representatives Clustering with Hybrid Approach
Clustering is a discoveringprocess of meaningfulintbrmationby groupingsimilar data into compactclusters. Mostof traditional clustering methodsare in favor of small datasets andhav...
Byung-Joo An, Eunju Kim, Yillbyung Lee
ESANN
2008
14 years 10 days ago
SOM based clustering with instance-level constraints
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,...
Fazia Bellal, Khalid Benabdeslem, Alexandre Aussem
MLDM
2005
Springer
14 years 4 months ago
SSC: Statistical Subspace Clustering
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...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
ISMIS
2005
Springer
14 years 4 months ago
Using Supervised Clustering to Enhance Classifiers
Abstract. This paper centers on a novel data mining technique we term supervised clustering. Unlike traditional clustering, supervised clustering is applied to classified examples ...
Christoph F. Eick, Nidal M. Zeidat
ISBRA
2007
Springer
14 years 5 months ago
GFBA: A Biclustering Algorithm for Discovering Value-Coherent Biclusters
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...
Xubo Fei, Shiyong Lu, Horia F. Pop, Lily R. Liang
ICPR
2008
IEEE
15 years 2 days ago
Time-series clustering by approximate prototypes
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...
Pasi Fränti, Pekka Nykänen, Ville Hautam...