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  /external/jetty/src/java/org/eclipse/jetty/security/
SpnegoUserIdentity.java 31 private Principal _principal; field in class:SpnegoUserIdentity
37 _principal = principal;
49 return _principal;
  /external/opencv3/doc/tutorials/ml/introduction_to_pca/
introduction_to_pca.markdown 22 Hence, PCA allows us to find the direction along which our data varies the most. In fact, the result of running PCA on the set of points in the diagram consist of 2 vectors called _eigenvectors_ which are the _principal components_ of the data set.

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