Multi-view Subspace Clustering for High-dimensional Data

  title={Multi-view Subspace Clustering for High-dimensional Data},
  author={Xiaojun Chen and Joshua Zhexue Huang},
The data today is towards more observations and very high dimensions. Large high-dimensional data are usually sparse and contain many classes/clusters. For example, large text data in the vector space model often contains many classes of documents represented in thousands of terms. It has become a rule rather than the exception that clusters in high… CONTINUE READING