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Adaptive dimension reduction using discriminant analysis and K-means clustering.

, and . ICML, volume 227 of ACM International Conference Proceeding Series, page 521-528. ACM, (2007)

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Kernel Alignment Inspired Linear Discriminant Analysis., and . ECML/PKDD (3), volume 8726 of Lecture Notes in Computer Science, page 401-416. Springer, (2014)Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms., , and . PAKDD (1), volume 6634 of Lecture Notes in Computer Science, page 148-159. Springer, (2011)Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency., , and . RECOMB, volume 8394 of Lecture Notes in Computer Science, page 311-325. Springer, (2014)An efficient algorithm for L1-norm principal component analysis., , and . ICASSP, page 1377-1380. IEEE, (2012)Feature subset non-negative matrix factorization and its applications to document understanding., , and . SIGIR, page 805-806. ACM, (2010)Bipartite Graph Partitioning and Data Clustering., , , , and . CIKM, page 25-32. ACM, (2001)On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions., , , and . KDD, page 1124-1132. ACM, (2013)Collective Kernel Construction in Noisy Environment., , and . SDM, page 64-72. SIAM, (2013)Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy., , and . IEEE Trans. Pattern Anal. Mach. Intell., 27 (8): 1226-1238 (2005)Linearized cluster assignment via spectral ordering., and . ICML, volume 69 of ACM International Conference Proceeding Series, ACM, (2004)