Unsupervised Feature Selection for Multi-View Data in Social Media

  title={Unsupervised Feature Selection for Multi-View Data in Social Media},
  author={Jiliang Tang and Xia Hu and Huiji Gao and Huan Liu},
The explosive popularity of social media produces mountains of high-dimensional data and the nature of social media also determines that its data is often unlabelled, noisy and partial, presenting new challenges to feature selection. Social media data can be represented by heterogeneous feature spaces in the form of multiple views. In general, multiple… CONTINUE READING

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