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@ -332,9 +332,12 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
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<description>
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<description>
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This object implements the Discriminant PCA technique described in the paper:
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This object implements the Discriminant PCA technique described in the paper:
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<blockquote>
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<blockquote>
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A New Discriminant Principal Component Analysis Method with Partial Supervision
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A New Discriminant Principal Component Analysis Method with Partial Supervision (2009)
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by Dan Sun and Daoqiang Zhang
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by Dan Sun and Daoqiang Zhang
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</blockquote>
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</blockquote>
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This algorithm is basically a straightforward generalization of the classical PCA
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technique to handle partially labeled data. It is useful if you want to learn a linear
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dimensionality reduction rule using a bunch of data that is partially labeled.
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</description>
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</description>
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</component>
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</component>
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