| 摘要 |
PURPOSE:To realize a standard pattern making device which efficiently reduces quantity of a standard pattern by dividing a feature vector considering correlation between parameters. CONSTITUTION:A feature vector stored in a learning pattern storage section 40 is set to a correlation calculating section 50, and the correlation between each parameter is calculated. Calculated correlation is held in a correlation storage section 60. A feature vector dividing section 70 collects parameters having close correlation each other based on this correlation. Clustering is performed in a clustering section 80 for each partial vector divided by the feature vector dividing section 70. Since partial vectors are constituted with parameters having close correlation, clustering having smaller quantization strain can be performed at the time of clustering. Thereby, since many patterns can be indicated with clusters of fewer numbers, a standard pattern in which quantity of memories are reduced can be made. |
