17390 search results - page 271 / 3478 » Distributed Data Clustering |
120
Voted
CSB
2005
IEEE
15 years 9 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...
142
Voted
ACMSE
2010
ACM
15 years 1 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...
114
Voted
ICDM
2005
IEEE
15 years 9 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 ...
142
Voted
WG
2010
Springer
15 years 2 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,...
107
click to vote
KI
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. We generalize traditional goals of clustering towards distinguishing components in a non-parametric mixture model. The clusters are not necessarily based on point locatio...