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Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning.

, and . J. UCS, 24 (6): 725-741 (2018)

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Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning., and . J. UCS, 24 (6): 725-741 (2018)A Methodology of Parsing Mathematical Notation for Mathematical Computation., , , and . ISSAC, page 292-300. ACM, (1996)Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems., , , and . JSIAM Lett., (2018)Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems., , , , and . JSIAM Lett., (2017)Stochastic estimation method of eigenvalue density for nonlinear eigenvalue problem on the complex plane., , and . JSIAM Lett., (2011)Error Analysis of a Derivative-Free Algorithm for Computing Zeros of Holomorphic Functions., , and . Computing, 70 (4): 335-347 (2003)A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems., , and . Appl. Math. Lett., (2014)Spectral clustering and discriminant analysis for unsupervised feature selection., , and . ESANN, (2016)Similarity Measure Based on Adaptive Neighbors for Spectral Clustering., and . ICMLC, page 405-409. ACM, (2017)On Single Precision Preconditioners for Krylov Subspace Iterative Methods., and . LSSC, volume 4818 of Lecture Notes in Computer Science, page 721-728. Springer, (2007)