| 摘要 |
In a feature data processing apparatus, one of two designated reference density vectors di and dj, to which a feature vector x corresponding to a feature element is closer, is determined from dij of the equation: dij=(di-dj)xx-(di-dj)/2 This value is calculated for all the combinations of two reference feature vectors di and dj selected from a reference feature vector group dk (k=0 to n-1), thereby obtaining classification data. The classification data is determined, using a logical formula or a reference table. An average value of the components is calculated from the classification data and the components of all the feature vectors. The above operation is repeated until the calculated average and the components of the reference density vector converge within a predetermined allowance, thereby precisely classifying feature data.
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