ReCoM: reinforcement clustering of multi-type interrelated data objects

@inproceedings{Wang2003ReCoMRC,
  title={ReCoM: reinforcement clustering of multi-type interrelated data objects},
  author={Junjie Wang and Hua-Jun Zeng and Zheng Chen and Hongjun Lu and Li Tao and Wei-Ying Ma},
  booktitle={SIGIR},
  year={2003}
}
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is either not considered, or represented by a static feature space and treated in the same ways as other attributes of the objects. In this paper, we propose a novel clustering approach for clustering multi-type interrelated data objects, ReCoM (Reinforcement Clustering of Multi-type Interrelated data objects). Under this… CONTINUE READING
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