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

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...

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Veröffentlicht in:Optical memory & neural networks 2015-07, Vol.24 (3), p.186-192
Hauptverfasser: Gushchin, K. A., Burikov, S. A., Dolenko, T. A., Persiantsev, I. G., Dolenko, S. A.
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Sprache:eng
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Zusammenfassung: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.
ISSN:1060-992X
1934-7898
DOI:10.3103/S1060992X15030066