Data Mining of Spectral Data

被引：0
|
作者：
Bogdanov, A. B. [1 ]
Borisova, I. A. [2 ]
Dyubanov, V. V. [3 ]
Zagoruiko, N. G. [2 ]
Kutnenko, O. A. [2 ]
Kuchkin, A. V. [1 ]
Meshcheryakov, M. A. [1 ]
Milovzorov, N. G. [4 ]
机构：
[1] Fed Secur Serv Russian Federat, Inst Criminalist, Moscow, Russia
[2] Russian Acad Sci, Sobolev Inst Math, Siberian Branch, Novosibirsk 630090, Russia
[3] Novosibirsk State Univ, Novosibirsk 630090, Russia
[4] OJSC MMC Norilsk Nikel, Moscow 125593, Russia
来源：
OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING | 2009年 / 45卷 / 01期
基金：
俄罗斯基础研究基金会;
关键词：
data mining; pattern recognition; informativeness of attributes; function of rival similarity;
D O I：
10.1134/S8756699009010105
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
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.
引用
收藏
页码：62 / 69
页数：8
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