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Heuristic classification techniques

The classification methods discussed in the previous section are all based on statistical tests wliich require normal data distribution. If this condition is not fulfilled the so-called non-probabihstic , non-parametric or heuristic classification techniques must be used. These techniques are also frequently referred to as pattern recognition methods. They are based on geometrical and not on statistical considerations, starting from a representation of the compounds... [Pg.71]

Quite a variety of different methods can and have been apphed in QSAR work for the evaluation of classification rules [74]. These methods may roughly be divided into two categories, namely parametric or statistical and non-parametric or heuristic techniques. While class separation in the parametric techniques is... [Pg.64]


See other pages where Heuristic classification techniques is mentioned: [Pg.414]    [Pg.628]    [Pg.35]    [Pg.30]    [Pg.260]    [Pg.266]    [Pg.305]   
See also in sourсe #XX -- [ Pg.71 ]




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