Group Sparsity in Nonnegative Matrix Factorization

@inproceedings{Kim2012GroupSI,
  title={Group Sparsity in Nonnegative Matrix Factorization},
  author={Jingu Kim and Renato D. C. Monteiro and Haesun Park},
  booktitle={SDM},
  year={2012}
}
A recent challenge in data analysis for science and engineering is that data are often represented in a structured way. In particular, many data mining tasks have to deal with group-structured prior information, where features or data items are organized into groups. In this paper, we develop group sparsity regularization methods for nonnegative matrix factorization (NMF). NMF is an effective data mining tool that has been widely adopted in text mining, bioinformatics, and clustering, but a… CONTINUE READING
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