Pptreeviz: An R package for visualizing projection pursuit classification trees

Eun Kyung Lee

doi:10.18637/jss.v083.i08

Pptreeviz: An R package for visualizing projection pursuit classification trees

Eun Kyung Lee

Department of Statistics

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

PPtreeViz, an R package, was developed to explore projection pursuit methods for classification. It provides functions to calculate various projection pursuit indices for classification and to explore the results in the space of projection. It also provides functions for the projection pursuit classification tree. The visualization methods of the tree structure and the features of each node in PPtreeViz can be used to easily explore the projection pursuit classification tree structure and determine the characteristics of each class. To calculate the projection pursuit indices and optimize these indices, we use the Rcpp and RcppArmadillo packages in R to improve the speed.

Original language	English
Journal	Journal of Statistical Software
Volume	83
DOIs	https://doi.org/10.18637/jss.v083.i08
State	Published - 2018

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2009-0093827).

Publisher Copyright:
© 2018, American Statistical Association. All rights reserved.

Keywords

Classification tree
Data visualization
Exploratory data analysis
Projection pursuit
R

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10.18637/jss.v083.i08

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title = "Pptreeviz: An R package for visualizing projection pursuit classification trees",

abstract = "PPtreeViz, an R package, was developed to explore projection pursuit methods for classification. It provides functions to calculate various projection pursuit indices for classification and to explore the results in the space of projection. It also provides functions for the projection pursuit classification tree. The visualization methods of the tree structure and the features of each node in PPtreeViz can be used to easily explore the projection pursuit classification tree structure and determine the characteristics of each class. To calculate the projection pursuit indices and optimize these indices, we use the Rcpp and RcppArmadillo packages in R to improve the speed.",

keywords = "Classification tree, Data visualization, Exploratory data analysis, Projection pursuit, R",

author = "Lee, {Eun Kyung}",

note = "Funding Information: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2009-0093827). Publisher Copyright: {\textcopyright} 2018, American Statistical Association. All rights reserved.",

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language = "English",

volume = "83",

journal = "Journal of Statistical Software",

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AU - Lee, Eun Kyung

N1 - Funding Information: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2009-0093827). Publisher Copyright: © 2018, American Statistical Association. All rights reserved.

PY - 2018

Y1 - 2018

N2 - PPtreeViz, an R package, was developed to explore projection pursuit methods for classification. It provides functions to calculate various projection pursuit indices for classification and to explore the results in the space of projection. It also provides functions for the projection pursuit classification tree. The visualization methods of the tree structure and the features of each node in PPtreeViz can be used to easily explore the projection pursuit classification tree structure and determine the characteristics of each class. To calculate the projection pursuit indices and optimize these indices, we use the Rcpp and RcppArmadillo packages in R to improve the speed.

AB - PPtreeViz, an R package, was developed to explore projection pursuit methods for classification. It provides functions to calculate various projection pursuit indices for classification and to explore the results in the space of projection. It also provides functions for the projection pursuit classification tree. The visualization methods of the tree structure and the features of each node in PPtreeViz can be used to easily explore the projection pursuit classification tree structure and determine the characteristics of each class. To calculate the projection pursuit indices and optimize these indices, we use the Rcpp and RcppArmadillo packages in R to improve the speed.

KW - Classification tree

KW - Data visualization

KW - Exploratory data analysis

KW - Projection pursuit

KW - R

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DO - 10.18637/jss.v083.i08

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SN - 1548-7660

VL - 83

JO - Journal of Statistical Software

JF - Journal of Statistical Software

ER -

Pptreeviz: An R package for visualizing projection pursuit classification trees

Abstract

Bibliographical note

Keywords

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