An Improvement to Matrix-Based LDA

نویسندگان

  • Chongyang Zhang
  • Jing-Yu Yang
چکیده

The matrix-based LDA method is attracting increasing attention. Compared with classic LDA, this method can overcome the small sample size (SSS) problem. However, previous literatures neglect the fact that there are two available matrix-based LDA algorithms and usually use only one of the two algorithms to perform the experiment. By experimental analysis, this work point out the combination of the two available matrix-based LDA algorithms can obtain a better performance.

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تاریخ انتشار 2011