Parallel Partitioning and Mining Gene Expression Data with Butterfly Network

Author:

Jiang Tao,Li Zhanhuai,Chen Qun,Wang Zhong,Pan Wei,Wang Zhuo

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Gao, B.J., et al.: Discovering Significant OPSM Subspace Clusters in Massive Gene Expression Data. In: Proceedings of KDD, pp. 922–928. ACM Press, New York (2006)

2. Frey, B.J., Dueck, D.: Clustering by Passing Messages between Data Points. Science 315(5814), 972–976 (2007)

3. Chui, C.K., Kao, B., et al.: Mining Order-Preserving Submatrices from Data with Repeated Measurements. In: Proceedings of ICDM, pp. 133–142. IEEE Press, Cancun (2008)

4. Zhang, M., Wang, W., Liu, J.: Mining Approximate Order Preserving Clusters in the Presence of Noise. In: Proceedings of ICDE, pp. 160–168. IEEE Press, Cancun (2008)

5. Fang, Q., Ng, W., Feng, J., Li, Y.: Mining Bucket Order-Preserving SubMatrices in Gene Expression Data. IEEE Trans. on Know. and Data Engin. 24(12), 2218–2231 (2012)

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