5880 search results - page 85 / 1176 » Data Clustering: A Review |
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
CSB
2005
IEEE
14 years 1 months ago
2005
IEEE
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
ACMSE
2010
ACM
13 years 5 months ago
2010
ACM
This paper defines and discusses a new problem in the area of subspace clustering. It defines the problem of mining closed subspace clusters. This new concept allows for the culli...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Adaptive clustering uses external feedback to improve cluster quality; past experience serves to speed up execution time. An adaptive clustering environment is proposed that uses ...
WG
2010
Springer
13 years 6 months ago
2010
Springer
Cluster Editing is a classical graph theoretic approach to tackle the problem of data set clustering: it consists of modifying a similarity graph into a disjoint union of cliques,...