Convergence Analysis of Complementary Candid Incremental Principal Component Analysis

نویسندگان

  • Yilu Zhang
  • Juyang Weng
چکیده

In this report, we analyze a proposed incremental principal component analysis algorithm, complementary candid incremental PCA algorithm, and prove that, following this algorithm, the estimated vectors vi(n) converge to λiei when n →∞, with probability 1.

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تاریخ انتشار 2001