Single Class Discrimination Using Principal Component Analysis (SCD‐PCA)

[1]  Svante Wold,et al.  Pattern recognition by means of disjoint principal components models , 1976, Pattern Recognit..

[2]  Erik Johansson,et al.  Four levels of pattern recognition , 1978 .

[3]  D. Livingstone,et al.  Structure-activity relationships of antifilarial antimycin analogues: a multivariate pattern recognition study. , 1990, Journal of medicinal chemistry.

[4]  S. Wold,et al.  Partial least squares analysis with cross‐validation for the two‐class problem: A Monte Carlo study , 1987 .

[5]  B. Kowalski,et al.  K-Nearest Neighbor Classification Rule (pattern recognition) applied to nuclear magnetic resonance spectral interpretation , 1972 .

[6]  S Wold,et al.  Structure-activity analyzed by pattern recognition: the asymmetric case. , 1980, Journal of medicinal chemistry.

[7]  P. W. Yendle,et al.  Discriminant principal components analysis , 1989 .

[8]  Svante Wold,et al.  The carcinogenicity of N-nitroso compounds: A SIMCA pattern recognition study , 1981 .

[9]  Svante Wold,et al.  Relationships between chemical structure and biological activity modeled by SIMCA pattern recognition , 1980 .

[10]  D J Gans,et al.  On the significance of clusters in the graphical display of structure-activity data. , 1986, Journal of medicinal chemistry.

[11]  D J Gans,et al.  Cluster significance analysis contrasted with three other quantitative structure-activity relationship methods. , 1987, Journal of medicinal chemistry.

[12]  B. Kowalski,et al.  Pattern recognition. II. Linear and nonlinear methods for displaying chemical data , 1973 .

[13]  S Wold,et al.  A structure-carcinogenicity study of 4-nitroquinoline 1-oxides using the SIMCA method of pattern recognition. , 1978, Journal of medicinal chemistry.