Clustering in applications with multiple data sources - A mutual subspace clustering approach

@article{Hua2012ClusteringIA,
  title={Clustering in applications with multiple data sources - A mutual subspace clustering approach},
  author={Ming Hua and Jian Pei},
  journal={Neurocomputing},
  year={2012},
  volume={92},
  pages={133-144}
}
In many applications, such as bioinformatics and cross-market customer relationship management, there are data from multiple sources jointly describing the same set of objects. An important data mining task is to find interesting groups of objects that form clusters in subspaces of the data sources jointly supported by those data sources. In this paper, we study a novel problem of mining mutual subspace clusters from multiple sources. We develop two interesting models and the corresponding… CONTINUE READING

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