SFtools-package: SFtools: Space Filling Based Tools for Data Mining

In SFtools: Space Filling Based Tools for Data Mining

Description

Contains space filling based tools for machine learning and data mining. Some functions offer several computational techniques and deal with the out of memory for large big data by using the ff package.

Author(s)

Mohamed Laib [e-mail] and

Mikhail Kanevski [e-mail],

Maintainer: Mohamed Laib [e-mail]

References

M. Laib and M. Kanevski (2017). Unsupervised Feature Selection Based on Space Filling Concept, arXiv:1706.08894.

J. A. Royle, D. Nychka, An algorithm for the construction of spatial coverage designs with implementation in Splus, Computers and Geosciences 24 (1997) p. 479–488.

J. Franco, Planification d’expériences numériques en phase exploratoire pour la simulation des phénomènes complexes, Thesis (2008) 282.

D. Dupuy, C. Helbert, J. Franco (2015). DiceDesign and DiceEval: Two R Packages for Design and Analysis of Computer Experiments. Journal of Statistical Software, 65(11), 1-38. Jstatsoft.

See Also

Useful links:

• https://sites.google.com/site/mohamedlaibwebpage/

• Report bugs at https://github.com/mlaib/SFtools/issues

SFtools documentation built on May 2, 2019, 11:02 a.m.