A Projection Pursuit Forest Algorithm for Supervised Classification

2018-07-19 · Natalia da Silva, Dianne Cook, Eun-Kyung Lee

This paper presents a new ensemble learning method for classification problems called projection pursuit random forest (PPF). PPF uses the PPtree algorithm introduced in Lee et al. (2013). In PPF, trees are constructed by splitting on linear combinations of randomly chosen variables. Projection pursuit is used to choose a projection of the variables that best separates the classes. Utilizing linear combinations of variables to separate classes takes the correlation between variables into account which allows PPF to outperform a traditional random forest when separations between groups occurs in combinations of variables. The method presented here can be used in multi-class problems and is implemented into an R (R Core Team, 2018) package, PPforest, which is available on CRAN, with development versions at https://github.com/natydasilva/PPforest.

📄 PDF Abstract BibTeX arXiv:1807.07207

Code (1)

natydasilva/PPforest 공식 구현

Tasks

Classification Ensemble Learning General Classification

Interactive Graphics for Visually Diagnosing Forest Classifiers in R

2017-04-08 · Natalia da Silva, Dianne Cook, Eun-Kyung Lee

This paper describes structuring data and constructing plots to explore forest classification models interactively. A forest classifier is an example of an ensemble, produced by bagging multiple trees. The process of bag…

Dimensionality Reduction General Classification

An Enhanced Projection Pursuit Tree Classifier with Visual Methods for Assessing Algorithmic Improvements

2026-02-24 · Natalia da Silva, Dianne Cook, Eun-Kyung Lee arxiv

This paper presents enhancements to the projection pursuit tree classifier and visual diagnostic methods for assessing their impact in high dimensions. The original algorithm uses linear combinations of variables in a tr…

Applying Supervised Learning Algorithms and a New Feature Selection Method to Predict Coronary Artery Disease

2014-02-03 · Hubert Haoyang Duan

From a fresh data science perspective, this thesis discusses the prediction of coronary artery disease based on genetic variations at the DNA base pair level, called Single-Nucleotide Polymorphisms (SNPs), collected from…

Dimensionality Reduction feature selection LEMMA

Similarity Kernel and Clustering via Random Projection Forests

2019-08-28 · Donghui Yan, Songxiang Gu, Ying Xu, Zhiwei Qin

Similarity plays a fundamental role in many areas, including data mining, machine learning, statistics and various applied domains. Inspired by the success of ensemble methods and the flexibility of trees, we propose to …

Clustering Clustering Ensemble

Informative Data Projections: A Framework and Two Examples

2015-11-27 · Tijl De Bie, Jefrey Lijffijt, Raul Santos-Rodriguez, Bo Kang

Methods for Projection Pursuit aim to facilitate the visual exploration of high-dimensional data by identifying interesting low-dimensional projections. A major challenge is the design of a suitable quality metric of pro…

Vocal Bursts Valence Prediction