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Projection Pursuit

Projection Pursuit Dynamic Cluster Model and its Application to Water Resources Carrying Capacity Evaluation

Projection Pursuit Dynamic Cluster Model and its Application to Water Resources Carrying Capacity Evaluation

... that projection pursuit cluster (PPC) model is able to form a suitable index for overcom- ing the difficulties in comprehensive evaluation, which can be used to analyze complex multivariate prob- ...

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PPCI: an R Package for Cluster Identification using Projection Pursuit

PPCI: an R Package for Cluster Identification using Projection Pursuit

... This ad-hoc investigation allowed us to identify potential causes for why accurate clustering of the optidigits data set is challenging, and to obtain a modest improvement by a manual reduction of dimensions. However, ...

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Evaluation of China’s Financial Risk Using Projection Pursuit Clustering Model and Its Positive Research

Evaluation of China’s Financial Risk Using Projection Pursuit Clustering Model and Its Positive Research

... Wengao Lou is born in Zhejiang province, P. R. China, in 1964. In 1985 he has graduated from Xi’an Jiaotong University and received his Bachelor’s degree in mechanical engineering. In 1991 he obtained a Master’s degree ...

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Target Projection Pursuit Feature Selection Quadratic Associative Classifier For Time Series Big Data Prediction

Target Projection Pursuit Feature Selection Quadratic Associative Classifier For Time Series Big Data Prediction

... The projection matrix project the high similarity features into two-dimensional ...feature projection minimizes the difference between the projection of the feature and the ...

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Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection

Sequential Projection Pursuit with Kernel Matrix Update and Symbolic Model Selection

... A very popular type of evolutionary optimization algorithms used in the current work is genetic program- ming (GP). This type is capable of discovering solutions for entire classes of problems, in the sense of discov- ...

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The use of a common location measure in the invariant coordinate selection and projection pursuit

The use of a common location measure in the invariant coordinate selection and projection pursuit

... and projection pursuit (PP) are two methods that can be used to detect clustering directions in multivariate data by optimizing criteria sensitive to ...

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Projection Pursuit Flood Disaster Classification Assessment Method Based on Multi Swarm Cooperative Particle Swarm Optimization

Projection Pursuit Flood Disaster Classification Assessment Method Based on Multi Swarm Cooperative Particle Swarm Optimization

... values. Projection pursuit technology has advantages that projecting higher dimensional incompati- ble data into lower dimensional sub-space, then obtain- ing higher dimensional data structure ...

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Delineation of homogenous regions using hydrological variables predicted by projection pursuit regression

Delineation of homogenous regions using hydrological variables predicted by projection pursuit regression

... Abstract. This study investigates the utilization of hydrolog- ical information in regional flood frequency analysis (RFFA) to enforce desired properties for a group of gauged stations. Neighbourhoods are particular ...

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An Intrusion Detection Model Based On Danger Theory  for Wireless Sensor Networks

An Intrusion Detection Model Based On Danger Theory for Wireless Sensor Networks

... with Projection Pursuit Algorithm to handle the high dimension problem of network traffic information, classifies dangers with Extreme Learning Machine algorithm and uses Beta distribution trust evaluation ...

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Uncovering Specific-Shape Graph Anomalies in Attributed Graphs

Uncovering Specific-Shape Graph Anomalies in Attributed Graphs

... a node-weighted graph. The target is to construct a maxi- mum weight specific shape subgraph in the node-weighted graph. The subgraph matching problem is well studied in the graph matching field (Yang et al. 2016; 2014). ...

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Rainfall forecasting using Nonlinear SVM based on PSO

Rainfall forecasting using Nonlinear SVM based on PSO

... and projection pursuit technology (SVR–PSO–PP), which use Projection Pursuit Technology based on Particle Swarm Optimization (PP–PSO) for feature selection of SVR, and then the PSO algorithm ...

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Generalised additive multiscale wavelet models constructed
using particle swarm optimisation and mutual information
for spatio-temporal evolutionary system representation

Generalised additive multiscale wavelet models constructed using particle swarm optimisation and mutual information for spatio-temporal evolutionary system representation

... the projection pursuit regression (PPR) (Friedman and Stuetzle 1981) and other constructive learning algorithms (Fahlman and Lebiere 1990, Jones 1992, Hwang et ...orthogonal projection pursuit ...

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CURRENT TRENDS OF COMMUNICATION SYSTEMS IN MEDICAL MONITORING SERVICES: THE CASE 
OF WSNS OPERATING SYSTEM DESIGN

CURRENT TRENDS OF COMMUNICATION SYSTEMS IN MEDICAL MONITORING SERVICES: THE CASE OF WSNS OPERATING SYSTEM DESIGN

... Exploratory Projection Pursuit for Blind Signal Separation (BSS) using associated projection pursuit ...and projection pursuit ...

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PLANT GROWTH MODELING OF ZINNIA ELEGANS JACQ USING FUZZY MAMDANI AND L SYSTEM 
APPROACH WITH MATHEMATICA

PLANT GROWTH MODELING OF ZINNIA ELEGANS JACQ USING FUZZY MAMDANI AND L SYSTEM APPROACH WITH MATHEMATICA

... but projection pursuit regression model having a strong advantage of dimensionality reduction can project input variables in one dimension space and effectively reflect excavation of sample information; ...

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A Rotation Test to Verify Latent Structure

A Rotation Test to Verify Latent Structure

... exploratory projection pursuit by Friedman (1987), although it is important to note that Friedman’s measures by themselves do not measure of statistical ...

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Generalised cellular neural networks (GCNNs) constructed using particle swarm optimisation for spatio-temporal evolutionary pattern identification

Generalised cellular neural networks (GCNNs) constructed using particle swarm optimisation for spatio-temporal evolutionary pattern identification

... Note that for each n in the inner loop of the PSO+OPP algorithm, the associated PSO algorithm repeatedly runs 10 times, and the coefficients that produce the smallest value for the object function are chosen to be the ...

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Cosparsity based Stagewise Matching Pursuit algorithm for reconstruction of the cosparse signals

Cosparsity based Stagewise Matching Pursuit algorithm for reconstruction of the cosparse signals

... Although all these greedy pursuit methods achieve sig- nal reconstruction with a high accuracy, they require the cosparsity l to be known a priori for signal recovery. However, l may not be available in many ...

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Why use a mirror to assess visual pursuit in prolonged disorders of consciousness? Evidence from healthy control participants

Why use a mirror to assess visual pursuit in prolonged disorders of consciousness? Evidence from healthy control participants

... To increase cognitive load while participants pursued the stimuli, we developed a two-back category-matching task. Participants heard a series of spoken letters (3-s onset asynchrony) and indicated via button press ...

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A new method based on the manifold alternative approximating for low rank matrix completion

A new method based on the manifold alternative approximating for low rank matrix completion

... ing pursuit (OMP) procedure from the vector to matrix level, Wang et ...matrix pursuit (OR1MP) method, in which only the top singular vector pair was calculated at each iteration step and an -feasible ...

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Distributed image and video coding based on compressed sensing : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Engineering at Massey University, New Zealand

Distributed image and video coding based on compressed sensing : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Engineering at Massey University, New Zealand

... Advanced Video Coding Bose Chaudhuri Hocquenghem Codes Bounded Constraint Quadratic Program Bayesian Compressive Sensing Block Matching Basis Pursuit Basis Pursuit Denoising Compressive [r] ...

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