Data dimensionality reduction and evaluation of clusterization quality in the problems of analysis of composition of multi-component solutions

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• 作者：K. A. Gushchin ; S. A. Burikov ; T. A. Dolenko…
• 关键词：Kohonen neural networks ; clusterization ; spectroscopy ; identification ; determination of component composition ; methods of dimensionality reduction ; evaluation of clusterization quality
• 刊名：Optical Memory & Neural Networks
• 出版年：2015
• 出版时间：July 2015
• 年：2015
• 卷：24
• 期：3
• 页码：186-192
• 全文大小：545 KB
• 参考文献：1.Crompton, T.R., Determination of Anions in Natural and Treated Waters, Taylor&Francis, 2002, 828 p.
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  4.Dolenko, S., Burikov, S., Dolenko, T., Efitorov, A., Gushchin, K., and Persiantsev, I., Neural network approaches to solution of the inverse problem of identification and determination of partial concentrations of salts in multi-component water solutions, Wermter, S., et al., Ed., ICANN 2014, Lecture Notes in Computer Science (LNCS), 2014, vol. 8681, pp. 805鈥?12.CrossRef
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• 作者单位：K. A. Gushchin (1) (2)
  S. A. Burikov (1) (2)
  T. A. Dolenko (1) (2)
  I. G. Persiantsev (1)
  S. A. Dolenko (1)
  
  1. Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Leninsky Gory 1/2, Moscow, 119991, Russia
  2. Physics department, Lomonosov Moscow State University, Leninsky Gory 1/2, Moscow, 119991, Russia
  
• 刊物类别：Computer Science
• 刊物主题：Information Storage and Retrieval
  Systems and Information Theory in Engineering
  Russian Library of Science
  
• 出版者：Allerton Press, Inc. distributed exclusively by Springer Science+Business Media LLC
• ISSN：1934-7898

文摘

This paper presents the results of search for optimal combination of a method of data dimensionality reduction and a clusterization algorithm, for analysis of an array of Raman spectra of multicomponent solutions of inorganic salts. The most informative criterion of evaluation of the quality of the obtained clusterization is presented. It is shown that application of special algorithms in combination with methods of dimensionality reduction improves the quality and increases the stability of solution of the clusterization problem. Keywords Kohonen neural networks clusterization spectroscopy identification determination of component composition methods of dimensionality reduction evaluation of clusterization quality