Data Mining of Spectral Data
A. B. Bogdanov, I. A. Borisova, V. V. Dyubanov, N. G. Zagoruiko, O. A. Kutnenko, A. V. Kuchkin, M. A. Meshcheryakov, N. G. Milovzorov
Keywords: data mining, pattern recognition, informativeness of attributes, function of rival similarity
Pages: 91-101
Abstract
This paper describes the Spektran software system intended for automated analysis of object-attribute data tables which implements data mining algorithms based on a function of rival similarity (FRiS). The Spektran system is used to analyze a set of objects (microparticles of a substance) described by spectral characteristics. The following basic problems of data mining are solved: particle clustering by similarity of their spectra, selection of the subset of the most informative spectrum channels, identifying the classes to which particles and their mixes belong and some others.
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