3721 search results - page 197 / 745 » Discriminative cluster analysis |
123
Voted
KDD
2005
ACM
16 years 4 months ago
2005
ACM
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
148
Voted
AAIM
2009
Springer
15 years 10 months ago
2009
Springer
During the last years, a wide range of huge networks has been made available to researchers. The discovery of natural groups, a task called graph clustering, in such datasets is a ...
136
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INFOSCALE
2006
ACM
15 years 10 months ago
2006
ACM
Huge amounts of data are available in large-scale networks of autonomous data sources dispersed over a wide area. Data mining is an essential technology for obtaining hidden and v...
126
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AUSAI
2006
Springer
15 years 7 months ago
2006
Springer
The unsupervised nature of cluster analysis means that objects can be clustered in many different ways. This means that different clustering algorithms can lead to vastly different...
172
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ACST
2006
15 years 5 months ago
2006
This paper investigates the applicability of distributed clustering technique, called RACHET [1], to organize large sets of distributed text data. Although the authors of RACHET c...