Cross-relational clustering with user's guidance

  title={Cross-relational clustering with user's guidance},
  author={Xiaoxin Yin and Jiawei Han and Philip S. Yu},
Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information often spreads across multiple relations. To ensure effective and efficient high-dimensional, cross-relational clustering, we propose a new approach, called CrossClus, which performs cross-relational clustering with user's guidance. We believe that user's guidance, even likely in very simple forms, could be essential for… CONTINUE READING
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