| 摘要 |
<P>PROBLEM TO BE SOLVED: To provide a learning method for a pattern identification device reducing computational quantity necessary for learning. Ž<P>SOLUTION: The learning method for a pattern identification device 1 having a feature extractor 11 for extracting feature quantities for identification from data according to a parameter for feature extraction and an identifier 12 for inputting the feature quantities for identification, and for identifying a pattern expressed in the data includes: a step (a) for determining the cluster of feature quantities for identification to be obtained by inputting the set of data for learning in which the same pattern included in a data set for learning is expressed to the feature extractor 11; a step (b) for obtaining the minimum distance between clusters; a step (c) for determining whether the maximal value of the minimum distance has been detected; a step (d) for, when it is determined that the maximal value has not been detected, changing the parameter for feature extraction, and for repeating the steps (a) to (c); and a step (e) for, when the maximal value has been detected, using the pattern for feature extraction corresponding to the maximal value in the execution of pattern identification processing. Ž<P>COPYRIGHT: (C)2010,JPO&INPIT Ž
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