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J-GLOBAL ID:200902200542220563   Reference number:09A0797614

Co-clustering Discrete Data Based on the Dirichlet Process Mixture Model

ディリクレ過程混合モデルに基づく離散データの共クラスタリング
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Volume: 2008  Issue:Page: VOL.1NO.1,60-73  Publication year: Nov. 15, 2008 
JST Material Number: L7379A  ISSN: 1882-7772  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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System and control theory in general  ,  Marketing research,advertisement 
Reference (21):
  • Blei, D. M. and Jordan, M. I.: Variational Inference for Dirichlet Process Mixtures, Bayesian Analysis, Vol.1, No.1, pp. 121-144(2006).
  • Chen, G., Wang, F. and Zhang, C.: Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization, Proc.7th IEEE International Conference on Data Mining (ICDM), Workshop on High Performance Data Mining, Omaha NE, US (2007).
  • Deerwester, S., Dumais, S., Furnas, G. W., Landauer, T. K. and Harshman, R.: Indexing by Latent Semantic Analysis, Journal of the Society for Information Science, Vol.41, No.6, pp. 391-407(1990).
  • Deodhar, M. and Ghosh, J.: A Framework for Simultaneous Co-clustering and Learning from Complex Data, Proc.13th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), San Jose, California, US, pp. 250-259(2007).
  • Dhillon, I. S.: Co-clustering documents and words using bipartite spectral graph partitioning, Proc.7th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), San Francisco CA, US, pp. 269-274(2001).
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