期刊文献+

基于模式识别算法的化合物辨识

Chemical compounds identification based on pattern recognition
下载PDF
导出
摘要 为了能区分不同的化合物,文中提出了一种基于多浓度-响应曲线的模式识别算法。在浓度-响应曲线上,可以提取到反映细胞毒性程度的特征值,然后使用固定了初始聚类中心的K均值算法来分类化合物。文中提出的特征提取、特征降维和聚类分析等方法能够实现对化合物的有效辨识。实验结果表明,所有测试化合物均能分类正确。 To determine distinct chemical properties,a pattern recognition algorithm using multiple concentration-response curves is developed in this paper. Features, which reflect the levels of cytotoxicity,are extracted from concentration-response curves. A K-means clustering method with deterministic initial centers is employed to classify the extracted features. The proposed method,including feature extraction,orthogonal projection and cluster analysis,can be readily automated,which enables relatively high throughput screening for chemical recognition. As a result,the tested chemicals are classified into several groups correctly.
出处 《信息技术》 2016年第2期165-169,共5页 Information Technology
关键词 基于时间的细胞响应曲线 特征提取 主成分分析 KKZ算法 K均值聚类算法 time-dependent cellular response profiles feature extraction principal component analysis KKZ algorithm K-means cluster
  • 相关文献

参考文献11

  • 1王策.松花江典型有机污染物动态数值模型构建与模拟[D].哈尔滨:哈尔滨工业大学,2013.
  • 2Holmes E,Nicholls A W,Lindon J C,et al.Development of a model for classification of to xin-induced lesions using 1H NMR spectroscopy of urine combined with pattern recognition[J].NMR in Biomedicine,1998,11(4-5):235-244.
  • 3严国俊,裴燕芳,朱贞宏,吴洁颖,潘金火.实时细胞电子分析技术的应用研究进展[J].中国药学杂志,2014,49(3):169-173. 被引量:16
  • 4Pan T H,Huang B,Xing J Z,et al.Recognition of chemical compounds in contaminated water using time-dependent multiple dose cellular responses[J].Analytica chimica acta,2012,724:30-39.
  • 5Pan T,Huang B,Zhang W,et al.Cytotoxicity assessment based on the AUC50 using multi-concentration time-dependent cellular response curves[J].Analytica chimica acta,2013,764:44-52.
  • 6Dinse G E.An EM algorithm for fitting a four-parameter logistic model to binary dose-response data[J].Journal of agricultural,biological,and environmental statistics,2011,16(2):221-232.
  • 7贺麒文,陈爱斌.基于PCA和肤色提取的人脸检测[J].信息技术,2009,33(5):82-84. 被引量:1
  • 8Herrera-IbatáD M,Pazos A,Orbegozo-Medina R A,et al.Mapping networks of anti-HIV drug cocktails vs.AIDS epidemiology in the US counties[J].Chemometrics and Intelligent Laboratory Systems,2014,138:161-170.
  • 9Quarder S,Claussnitzer U,Otto M.Using singular-value decompositions to classify spatial patterns generated by a nonlinear dynamic model of the olfactory system[J].Chemometrics and Intelligent Laboratory Systems,2001,59(1):45-51.
  • 10刘强,吴京慧.优化初始聚类中心的K-means算法[J].信息技术,2009,33(2):71-73. 被引量:1

二级参考文献13

  • 1HAN JW, KAMBER M. Data Mining Concepts and Techniques[M]. BeiJ ing: ChinaMachine Press.2001:223 - 259.
  • 2Casillas A, GonzalezdeLena M T, Martinez R. Document clustering into an unknowa number of clusters using a Genetic Algorithm[ C]. International Conference on Text Speech and Dialogue TSD, 2003.
  • 3Willett P. Recent trends in hierarchic document clustering: a critical review[J]//Information Processing and Management, 1988,24(5) :577 - 597.
  • 4KANUNGO T, MOUNTDM, NETANYAHU NS, et al. An Efficient K-Means Clustering Algorithm: Analysis and Implementation[ J ]. Pattern Analysis andMaehine Intelligence,2002,24(7) :881 - 892.
  • 5Goldberg D E. Genetic Algorithms in Search, Optimization, and Machine Learning[C]. Addison Wesley Longmn, Inc,2002.
  • 6Estivill-Castro V, Murray A T. Spatial Clustering for Data Mining with Genetic Algorithms[C]. Proceedings of the International ICSC Symposium on Engineering &Intelligent Systems EIS-98,1998.
  • 7Bandyopadhyay S, Maulik U. Genetic clustering for automatic evolution of dusters and application in image classification[J]. Pattern Recognition,2002,35:1197 - 1208.
  • 8边肇庆,模式识别[P].清华大学出版社,2000.
  • 9Hsu R-L, Abdel-Mottaleb M, Jain A K. Face Detection in Color Images[Z]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 2002:696 - 706.
  • 10Hamdy A.Drowsy Driver Assistant System: Principal Component Analysis [Z].GUC, Cairo, 2007.

共引文献15

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部