Description Details Author(s) References
The aim of the classyfire
package is to improve the quality of multivariate classification projects by making a state-of-the-art multivariate classification workflow available to everyone. Classyfire achieves this by providing powerful functions which automate as much of the classifier building and testing as possible. However, to avoid these functions becoming impenetrable black boxes, detailed information is provided about how these functions work, and full access is provided to the internals of all classifiers that are produced.
Package: | classyfire |
Type: | Package |
Version: | 0.1-2 |
Date: | 2015-01-11 |
License: | GPL (>= 2) |
Adapted functionality by Eleni Chatzimichali (ea.chatzimichali@gmail.com)
Author of the SVM functions: David Meyer (<David.Meyer@R-project.org>)
(based on C/C++-code by Chih-Chung Chang and Chih-Jen Lin)
Author of Scilab neldermead module: Michael Baudin (INRIA - Digiteo)
Author of Scilab R adaptation: Sebastien Bihorel (<sb.pmlab@gmail.com>)
Authors of bootstrap functions: Angelo Canty and Brian Ripley (originally by Angelo Canty for S)
There are many references explaining the concepts behind the functionality of this package. Among them are :
Chang, Chih-Chung and Lin, Chih-Jen:
LIBSVM: a library for Support Vector Machines
http://www.csie.ntu.edu.tw/~cjlin/libsvm
Exact formulations of models, algorithms, etc. can be found in the
document:
Chang, Chih-Chung and Lin, Chih-Jen:
LIBSVM: a library for Support Vector Machines
http://www.csie.ntu.edu.tw/~cjlin/papers/libsvm.ps.gz
More implementation details and speed benchmarks can be found on:
Rong-En Fan and Pai-Hsune Chen and Chih-Jen Lin:
Working Set Selection Using the Second Order Information for Training SVM
http://www.csie.ntu.edu.tw/~cjlin/papers/quadworkset.pdf
Spendley, W. and Hext, G. R. and Himsworth, F. R.
Sequential Application of Simplex Designs in Optimisation and Evolutionary Operation
American Statistical Association and American Society for Quality, 1962
Nelder, J. A. and Mead, R.
A Simplex Method for Function Minimization
The Computer Journal, 1965
C. T. Kelley
Iterative Methods for Optimization
SIAM Frontiers in Applied Mathematics, 1999
A. C. Davison and D. V. Hinkley
Bootstrap Methods and Their Applications
CUP, 1997
Booth, J.G., Hall, P. and Wood, A.T.A.
Balanced importance resampling for the bootstrap.
Annals of Statistics, 21, 286-298, 1993
Davison, A.C. and Hinkley, D.V.
Bootstrap Methods and Their Application
Cambridge University Press, 1997
Efron, B. and Tibshirani, R.
An Introduction to the Bootstrap
Chapman & Hall, 1993
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