SIGKDD
2010
13 years 7 months ago
2010
Traditional clustering focuses on finding a single best clustering solution from data. However, given a single data set, one could interpret it in different ways. This is particul...
ICAI
2004
14 years 1 months ago
2004
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
ICDM
2003
IEEE
14 years 5 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...
ICDM
2005
IEEE
14 years 6 months ago
2005
IEEE
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...