The calculation of significant degree of the data component in all kinds of distinction data by the Spherical Self Organizing-Maps (SSOM) method

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  • 球面自己組織化マップ(SS0M)法による各種判別データでのデータ要素間の有意度の算出
  • 球面自己組織化マップ(SSOM)法による各種判別データでのデータ要素間の有意度の算出
  • キュウメン ジコ ソシキカ マップ(SSOM)ホウ ニ ヨル カクシュ ハンベツ データ デ ノ データ ヨウソ カン ノ ユウイド ノ サンシュツ

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Abstract

Using the iris data of the benchmark, the significant degree of each component was calculated by the Spherical Self-Organizing-Maps (SSOM) method. First of all, the algorithm of the significant degree was constructed and then, the method was applied to the iris data and other several benchmark data. The result could be quite reasonable. After completing the algorithm, the method was confirmed using the best group waves and the worst group waves of the Acceleration Plethysmogram pulse wave. Also, it was applied to the fatigue questionnaire data and the analysis was compared with the result of the multi regression analysis.

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