1385 search results - page 3 / 277 » Clustering by Random Projections |
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
PAKDD
2009
ACM
14 years 3 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
MCS
2007
Springer
14 years 5 days ago
2007
Springer
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
ITA
2006
13 years 6 months ago
2006
The problem of assessing the reliability of clusters patients identified by clustering algorithms is crucial to estimate the significance of subclasses of diseases detectable at b...
BMCBI
2007
13 years 6 months ago
2007
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...