高等学校化学学报 ›› 1999, Vol. 20 ›› Issue (S1): 28.

• Atomic Spectrometry • 上一篇    下一篇

Application of Alternative K-Nearest Neighbor method to Classification of Alloy Samples

Wu Xiao-Jun, LUO Li-Qiang, GAN Lu   

  1. Institute of Rock and Mineral Analysis, Chinese Academy of Geological Sciences, 100037, P. R. China
  • 出版日期:1999-12-31 发布日期:1999-12-31

Application of Alternative K-Nearest Neighbor method to Classification of Alloy Samples

Wu Xiao-Jun, LUO Li-Qiang, GAN Lu   

  1. Institute of Rock and Mineral Analysis, Chinese Academy of Geological Sciences, 100037, P. R. China
  • Online:1999-12-31 Published:1999-12-31

摘要:

Pattern Recognition is one of main methods that can resolve structure of chemistry and classification of compounds. In chemistry, K-Nearest Neighbor method (KNN) is mostly used for recognition of compounds that are not classified by a linear method. ALKNN (Alternative KNN) is an improvement of KNN. The method is based on the classification rules which are produced by using standards and knowledge. The unknown samples are,then, classified with the aid of the rules.

Abstract:

Pattern Recognition is one of main methods that can resolve structure of chemistry and classification of compounds. In chemistry, K-Nearest Neighbor method (KNN) is mostly used for recognition of compounds that are not classified by a linear method. ALKNN (Alternative KNN) is an improvement of KNN. The method is based on the classification rules which are produced by using standards and knowledge. The unknown samples are,then, classified with the aid of the rules.

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