Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis

Soumia Boumeddane, Leila Hamdad, Hamid Haddadou, Sophie Dabo-Niang

2021

Abstract

Spatial Kernel Discriminant Analysis is a powerful tool for the classification of spatially dependent data. It allows taking into consideration the spatial autocorrelation of data based on a spatial kernel density estimator. The performance of SKDA is highly influenced by the choice of the smoothing parameters, also known as bandwidths. Moreover, computing a kernel density estimate is computationally intensive for high-dimensional datasets. In this paper, we consider the bandwidth selection as an optimization problem, that we resolve using Particle Swarm Optimization algorithm. In addition, we investigate the use of Principle Component Analysis as a feature extraction technique to reduce computational complexity and overcome curse of dimensionality drawback. We examined the performance of our model on Hyperspectral image classification. Experiments have given promising results on a commonly used dataset.

Paper Citation

in Harvard Style

Boumeddane S., Hamdad L., Haddadou H. and Dabo-Niang S. (2021). Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis.In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-484-8, pages 278-285. DOI: 10.5220/0010269002780285

in Bibtex Style

@conference{icaart21,
author={Soumia Boumeddane and Leila Hamdad and Hamid Haddadou and Sophie Dabo-Niang},
title={Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2021},
pages={278-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010269002780285},
isbn={978-989-758-484-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Dimensionality Reduction and Bandwidth Selection for Spatial Kernel Discriminant Analysis
SN - 978-989-758-484-8
AU - Boumeddane S.
AU - Hamdad L.
AU - Haddadou H.
AU - Dabo-Niang S.
PY - 2021
SP - 278
EP - 285
DO - 10.5220/0010269002780285