Applications of Principal Component Analysis to Breath Air Absorption Spectra Profiles Classification

机译：主成分分析在吸气吸收光谱分析中的应用

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

The results of numerical simulation of application principal component analysis to absorption spectra of breath air of patients with pulmonary diseases are presented. Various methods of experimental data preprocessing are analyzed.

机译：介绍了应用主要成分分析应用主成分分析的数值模拟结果。介绍了肺病患者呼吸空气吸收光谱的结果。分析了各种实验数据预处理方法。

著录项

来源
《International Conference on Atomic and Molecular Pulsed Lasers》|2015年||共6页
会议地点
作者
Kistenev Yu.V.; Shapovalov A.V.; Borisov A.V.; Vrazhnov D. A.; Nikolaev V.V.; Nikiforova O.Yu.;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类激光技术、微波激射技术;
关键词
breath air; pulmonary diseases; principal component analysis; data preprocessing;

机译：呼吸空气;肺部疾病;主成分分析;数据预处理;

相似文献

外文文献
中文文献
专利

1. Raman Microspectral Study and Classification of the Pathological Evolution of Breast Cancer Using Both Principal Component Analysis-Linear Discriminant Analysis and Principal Component Analysis-Support Vector Machine [J] . Heping Li, Yu Ren, Fan Yu, Journal of spectroscopy . 2021,第a期

机译：拉曼微渗流分辨率使用主成分分析 - 线性判别分析和主成分分析 - 支持向量机使用乳腺癌病理演化的研究和分类
2. Classification and individualization of black ballpoint pen inks using principal component analysis of UV-vis absorption spectra. [J] . Adam CD, Sherratt SL, Zholobenko VL Forensic science international . 2008,第1期

机译：黑色圆珠笔墨水的分类和个性化，使用紫外可见吸收光谱的主成分分析。
3. Application of principal component analysis to a full profile correlative analysis of FTIR spectra [J] . Broderick S.R., Suh C., Provine J., Surface and Interface Analysis: SIA: An International Journal Devoted to the Development and Application of Techniques for the Analysis of Surfaces, Interfaces and Thin Films . 2012,第3期

机译：主成分分析在FTIR光谱全谱相关分析中的应用
4. Applications of Principal Component Analysis to Breath Air Absorption Spectra Profiles Classification [C] . Kistenev Yu.V., Shapovalov A.V., Borisov A.V., International Conference on Atomic and Molecular Pulsed Lasers . 2015

机译：主成分分析在呼吸空气吸收光谱图分类中的应用
5. Limitations of principal component analysis for dimensionality-reduction for classification of hyperspectral data. [D] . Cheriyadat, Anil. 2003

机译：用于高光谱数据分类的降维主成分分析的局限性。
6. Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery [O] . Henry Han 2010

机译：质谱血清谱和生物标志物发现的非负主成分分析
7. Raman Microspectral Study and Classification of the Pathological Evolution of Breast Cancer Using Both Principal Component Analysis-Linear Discriminant Analysis and Principal Component Analysis-Support Vector Machine [O] . Heping Li, Yu Ren, Fan Yu, 2021

机译：拉曼微渗流分辨率使用主成分分析 - 线性判别分析和主成分分析 - 支持向量机使用乳腺癌病理演化的研究和分类

Applications of Principal Component Analysis to Breath Air Absorption Spectra Profiles Classification

摘要

著录项

相似文献

相关主题

期刊订阅