Chemometrics and qualitative analysis have a vibrant relationship

作者: Ewa Szymańska , Jan Gerretzen , Jasper Engel , Brigitte Geurts , Lionel Blanchet

DOI: 10.1016/J.TRAC.2015.02.015

关键词:

摘要: … For the ordinal measure (Squared Euclidean distance), d i j represents the distance between objects i and j ; x i k the data value for object i and variable k ; n is the amount of variables. …

参考文章(96)
K. Jajuga, M. Walesiak, A. Bak, On The General Distance Measure Studies in Classification, Data Analysis, and Knowledge Organization. pp. 104- 109 ,(2003) , 10.1007/978-3-642-55721-7_12
Kai-Bo Duan, Jagath C. Rajapakse, Minh N. Nguyen, One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification Lecture Notes in Computer Science. pp. 47- 56 ,(2007) , 10.1007/978-3-540-71783-6_5
P. D. Wentzell, S. Hou, Exploratory data analysis with noisy measurements Journal of Chemometrics. ,vol. 26, pp. 264- 281 ,(2012) , 10.1002/CEM.2428
Igor Kononenko, Edvard Šimec, Marko Robnik-Šikonja, Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF Applied Intelligence. ,vol. 7, pp. 39- 55 ,(1997) , 10.1023/A:1008280620621
James Franklin, The elements of statistical learning : data mining, inference,and prediction The Mathematical Intelligencer. ,vol. 27, pp. 83- 85 ,(2005) , 10.1007/BF02985802
Richard G. Brereton, Gavin R. Lloyd, Partial least squares discriminant analysis: taking the magic away Journal of Chemometrics. ,vol. 28, pp. 213- 225 ,(2014) , 10.1002/CEM.2609
Richard G. Brereton, One-class classifiers Journal of Chemometrics. ,vol. 25, pp. 225- 246 ,(2011) , 10.1002/CEM.1397
Yulia B. Monakhova, Douglas N. Rutledge, Andreas Roßmann, Hans-Ulrich Waiblinger, Manuela Mahler, Maren Ilse, Thomas Kuballa, Dirk W. Lachenmeier, Determination of rice type by 1H NMR spectroscopy in combination with different chemometric tools Journal of Chemometrics. ,vol. 28, pp. 83- 92 ,(2014) , 10.1002/CEM.2576
Dániel Szöllősi, Dénes Lajos Dénes, Ferenc Firtha, Zoltán Kovács, András Fekete, Comparison of six multiclass classifiers by the use of different classification performance indicators Journal of Chemometrics. ,vol. 26, pp. 76- 84 ,(2012) , 10.1002/CEM.2432