Package ‘MaxSkew’ May 8, 2017 Type Package Title Orthogonal Data Projections with Maximal Skewness Version 1.1 Date 2017-05-02 Author Cinzia Franceschini and Nicola Loperfido Maintainer Cinzia Franceschini <
[email protected]> Suggests datasets Description It finds Orthogonal Data Projections with Maximal Skewness. The first data projection in the out- put is the most skewed among all linear data projections. The second data projection in the out- put is the most skewed among all data projections orthogonal to the first one, and so on. License GPL-2 NeedsCompilation no Repository CRAN Date/Publication 2017-05-08 11:54:21 UTC R topics documented: MaxSkew-package . .2 .MaxSkewBiv . .3 .MaxSkewThree . .4 MaxSkew . .4 OLYMPIC_DECATHLON_2016 . .5 Index 7 1 2 MaxSkew-package MaxSkew-package MaxSkew: skewness-based projection pursuit Description Finds Orthogonal Data Projections with Maximal Skewness Details Package: MaxSkew Type: Package Title: Orthogonal Data Projections with Maximal Skewness Version: 1.1 Date: 2017-05-02 Author: Cinzia Franceschini, Nicola Loperfido Maintainer: Cinzia Franceschini <
[email protected]> Description: It finds Orthogonal Data Projections with Maximal Skewness. The first data projection in the output is the most skewed among all linear data projections. The second data projection in the output is the most skewed among all data projections orthogonal to the first one, and so on. License: GPL-2 Author(s) Cinzia Franceschini and Nicola Loperfido References de Lathauwer L., de Moor B.and Vandewalle J. (2000). Onthebestrank-1andrank-(R_1,R_2,...R_N) approximation of high-order tensors. SIAM Jour. Matrix Ana. Appl. 21, 1324-1342. Loperfido, N. (2010). Canonical Transformations of Skew-Normal Variates.