1022 search results - page 2 / 205 » Adaptive Clustering Ensembles |
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
Clustering ensembles has been recently recognized as an emerging approach to provide more robust solutions to the data clustering problem. Current methods of clustering ensembles ...
MCS
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. In this paper, we propose a cluster-based cumulative representation for cluster ensembles. Cluster labels are mapped to incrementally accumulated clusters, and a matching...
NIPS
2004
13 years 6 months ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
INFFUS
2006
13 years 4 months ago
2006
Adjusted Rand index is used to measure diversity in cluster ensembles and a diversity measure is subsequently proposed. Although the measure was found to be related to the quality...