Results 11 to 20 of about 426,008 (281)
PPtreeViz: An R Package for Visualizing Projection Pursuit Classification Trees [PDF]
Journal of Statistical Software, 2018 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.
Eun-Kyung Lee
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Projection Pursuit Multivariate Sampling of Parameter Uncertainty
Applied Sciences, 2022 The efficiency of sampling is a critical concern in Monte Carlo analysis, which is frequently used to assess the effect of the uncertainty of the input variables on the uncertainty of the model outputs.
Oktay Erten +2 more
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Appropriateness of projection pursuit in classification
Lietuvos Matematikos Rinkinys, 1999 There is not abstract.
Gintautas Jakimauskas +1 more
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A Projection Pursuit Based Risk Assessment Method in Mobile Ad hoc Networks [PDF]
International Journal of Computational Intelligence Systems, 2011 Establishing high performance cooperation and estimating nodes’ risk level in mobile ad hoc networks (MANETs) are currently fundamental and challenging due to the inherent characteristics of MANETs, such as the highly dynamic topology and the absence ...
Fu Cai +4 more
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A Wrapper for Projection Pursuit Learning [PDF]
2007 International Joint Conference on Neural Networks, 2007 Constructive algorithms have shown to be reliable and effective methods for designing artificial neural networks (ANN) with good accuracy and generalization capability, yet with parsimonious network structures. Projection pursuit learning (PPL) has demonstrated great flexibility and effectiveness in performing this task, though presenting some ...
Leonardo M. Holschuh +2 more
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Mathematics, 2021 Non-normality is a usual fact when dealing with gene expression data. Thus, flexible models are needed in order to account for the underlying asymmetry and heavy tails of multivariate gene expression measures.
Jorge M. Arevalillo, Hilario Navarro
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Projection pursuit Gaussian process regression
IISE Transactions, 2022 A primary goal of computer experiments is to reconstruct the function given by the computer code via scattered evaluations. Traditional isotropic Gaussian process models suffer from the curse of dimensionality, when the input dimension is relatively high given limited data points. Gaussian process models with additive correlation functions are scalable
Gecheng Chen, Rui Tuo
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Projection Pursuit Through ϕ-Divergence Minimisation
Entropy, 2010 In his 1985 article (“Projection pursuit”), Huber demonstrates the interest of his method to estimate a density from a data set in a simple given case.
Jacques Touboul
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PPCI: an R Package for Cluster Identification using Projection Pursuit [PDF]
, 2019 This paper presents the R package PPCI which implements three recently proposed projection pursuit methods for clustering. The methods are unified by the approach of defining an optimal hyperplane to separate clusters, and deriving a projection index ...
Hofmeyr, David P. +3 more
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Statistical Estimation of Discriminant Space using Various Projection Indices
Nonlinear Analysis, 2001 Projection pursuit is a method for finding interesting projections of high-dimensional multivariate data. Typically interesting projections are found by numerical maximizing some measure of non-normality of projected data (so-called projection index ...
R. Krikštolaitis
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