1. A data process unit comprising: data classification means for classifying a plurality of predetermined data on a plurality of objects into a plurality of groups based on a plurality of specific conditions; pattern model generating means for generating a plurality of pattern models which have 4-dimensional or higher dimensional elements for each group of predetermined data based on the predetermined data classified by the data classification means; mathematical distance calculating means for calculating mathematical distance among the pattern models generated by the pattern model generating means for the respective groups; pattern model converting means for converting the plurality of pattern models into the same number of low dimensional vectors corresponding to the pattern models in the lower dimension while maintaining distance relationship among the pattern models, based on the mathematical distance calculated by the mathematical distance calculating means; and low dimensional vector corresponding to pattern model display means for displaying the plurality of low dimensional vectors corresponding to pattern models as coordinate points in a low dimensional space of the same dimension as the low dimensional vectors corresponding to pattern models while maintaining the distance relationship, based on values of low dimensional elements.
1. A data process unit comprising: data classification means for classifying a plurality of predetermined data on a plurality of objects into a plurality of groups based on a plurality of specific conditions; pattern model generating means for generating a plurality of pattern models which have 4-dimensional or higher dimensional elements for each group of predetermined data based on the predetermined data classified by the data classification means; mathematical distance calculating means for calculating mathematical distance among the pattern models generated by the pattern model generating means for the respective groups; pattern model converting means for converting the plurality of pattern models into the same number of low dimensional vectors corresponding to the pattern models in the lower dimension while maintaining distance relationship among the pattern models, based on the mathematical distance calculated by the mathematical distance calculating means; and low dimensional vector corresponding to pattern model display means for displaying the plurality of low dimensional vectors corresponding to pattern models as coordinate points in a low dimensional space of the same dimension as the low dimensional vectors corresponding to pattern models while maintaining the distance relationship, based on values of low dimensional elements. 2. The data process unit according to claim 1 , wherein the plurality of predetermined data on a plurality of objects are one of human voice data, ambient noise data, animal sound data, image data, infrared data, and acceleration data.