Results 21 to 30 of about 426,008 (281)
A Projection Pursuit Dynamic Cluster Model Based on a Memetic Algorithm
Tsinghua Science and Technology, 2015 A Projection Pursuit Dynamic Cluster (PPDC) model optimized by Memetic Algorithm (MA) was proposed to solve the practical problems of nonlinearity and high dimensions of sample data, which appear in the context of evaluation or prediction in complex ...
Hongli Zhang, Cong Wang, Wenhui Fan
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Water Abundance Comprehensive Evaluation of Coal Mine Aquifer Based on Projection Pursuit Model
Lithosphere, 2022 After coal mining, mining fissures develop, which may lead to an overlying aquifer and water inrush. Objectively and accurately evaluating and predicting the water abundance of the bottom aquifer of the Cenozoic are of great significance for ensuring ...
Yaoshan Bi +5 more
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Optimized Projection Matrix for Compressive Sensing
EURASIP Journal on Advances in Signal Processing, 2010 Compressive sensing (CS) is mainly concerned with low-coherence pairs, since the number of samples needed to recover the signal is proportional to the mutual coherence between projection matrix and sparsifying matrix.
Xu Jianping, Pi Yiming, Cao Zongjie
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Grand Tour and Projection Pursuit [PDF]
, 1995 The grand tour and projection pursuit are two methods for exploring multivariate data. We show how to combine them into a dynamic graphical tool for exploratory data analysis, called a projection pursuit guided tour.
Cook, Dianne +3 more
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Projection pursuit quadratic regression - the normal case [PDF]
, 1988 summary:The model of quadratic regression is studied by means of the projection pursuit method. This method leads to a decomposition of the matrix of quadratic regression, which can be used for an estimation of this matrix from the data ...
Štulajter, František
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Outlier detection in multivariate time series via projection pursuit [PDF]
, 2004 This article uses Projection Pursuit methods to develop a procedure for detecting outliers in a multivariate time series. We show that testing for outliers in some projection directions could be more powerful than testing the multivariate series directly.
Peña, Daniel +2 more
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Journal of King Saud University: Computer and Information Sciences, 2017 This article consists of using biologically inspired algorithms in order to detect potentially interesting structures in large and multidimensional data sets. Data exploration and the detection of interesting structures are based on the use of Projection
Souad Larabi Marie-Sainte
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Agronomy, 2022 In the breeding of new sugarcane varieties, the survey data do not always conform with a normal or linear distribution. To apply non-normal or non-linear data to evaluate new material requires a suitable evaluation model or method. The projection pursuit
Yong Zhao +7 more
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The Annals of Statistics, 1981 This paper surveys many attemps of solving problems of processing multidimensional data by means of projection pursuit (PP) and gives them a common framework. It shows that special procedures as principal components, multidimensional scaling, factor analysis, non-parametric regression, density estimation, and approximation are special cases of PP.
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Asymptotics of Graphical Projection Pursuit
The Annals of Statistics, 1984 General conditions under which the asymptotic distribution of the almost all (with respect to the uniform measure on the unit ball of projecting vectors) projections is normal are given. Convergence in probability of empirical moments (of the first and second order) is also established.
Diaconis, Persi, Freedman, David
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