CDpcaSummary: Clustering and Disjoint Principal Component Analysis Summary
In biplotbootGUI: Bootstrap on Classical Biplots and Clustering Disjoint Biplot
Description
Usage
Arguments
Value
Author(s)
References
Description
Produce a list of summary measures to evaluate the result of the CDPCA
Usage
1
CDpcaSummary(obj)
Arguments
obj
An object of the type produced by CDpca
Value
CDpcaSummary returns the following values associated to the loop where the best result was produced:
Number of the loops
Number of iterations
Value of the objective function F
Frobenius norm of the error matrix
Between cluster deviance (percentage)
Explained variance by CDpca components (percentage)
Pseudo Confusion Matrix (if available)
Author(s)
Eloisa Macedo macedo@ua.pt,
Adelaide Freitas adelaide@ua.pt,
Maurizio Vichi maurizio.vichi@uniroma1.it
References
Vichi, M and Saporta, G. (2009). Clustering and disjoint principal component analysis.
Computational Statistics and Data Analysis, 53, 3194-3208.
Macedo, E. and Freitas, A. (2015). The alternating least-squares algorithm for CDPCA.
Communications in Computer and Information Science (CCIS), Springer
Verlag pp. 173-191.
biplotbootGUI documentation built on Aug. 1, 2019, 1:05 a.m.
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Description Usage Arguments Value Author(s) References
Description
Produce a list of summary measures to evaluate the result of the CDPCA
Usage
1 | CDpcaSummary(obj)
|
Arguments
obj |
An object of the type produced by CDpca |
Value
CDpcaSummary returns the following values associated to the loop where the best result was produced:
Number of the loops
Number of iterations
Value of the objective function F
Frobenius norm of the error matrix
Between cluster deviance (percentage)
Explained variance by CDpca components (percentage)
Pseudo Confusion Matrix (if available)
Author(s)
Eloisa Macedo macedo@ua.pt, Adelaide Freitas adelaide@ua.pt, Maurizio Vichi maurizio.vichi@uniroma1.it
References
Vichi, M and Saporta, G. (2009). Clustering and disjoint principal component analysis. Computational Statistics and Data Analysis, 53, 3194-3208.
Macedo, E. and Freitas, A. (2015). The alternating least-squares algorithm for CDPCA. Communications in Computer and Information Science (CCIS), Springer Verlag pp. 173-191.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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