11 search results - page 1 / 3 » Unifying dependent clustering and disparate clustering for n... |
KDD
2010
ACM
13 years 8 months ago
2010
ACM
Modern data mining settings involve a combination of attributevalued descriptors over entities as well as specified relationships between these entities. We present an approach t...
ICDM
2003
IEEE
13 years 9 months ago
2003
IEEE
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
MMAS
2010
Springer
12 years 11 months ago
2010
Springer
A unified variational methodology is developed for classification and clustering problems, and tested in the classification of tumors from gene expression data. It is based on flu...
ALENEX
2008
13 years 5 months ago
2008
Consensus clustering is the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. Cast ...
KDD
2008
ACM
14 years 4 months ago
2008
ACM
Recent work in deduplication has shown that collective deduplication of different attribute types can improve performance. But although these techniques cluster the attributes col...