# A Dimensionality Reduction Method for Data Visualization using Particle Swarm Optimization

### Panagiotis C. Petrantonakis, Ioannis Kompatsiaris

#### 2020

#### Abstract

Dimensionality reduction involves mapping of a set of high dimensional input points on a low dimensional space. Mappings in low dimensional space are expected to preserve the pairwise distances of the high dimensional inputs. In this work we present a dimensionality reduction method, called Dimensionality Reduction based on Particle Swarm Optimization (PSO-DR), where the conversion of each input to the low dimensional output does not depend on the rest of the inputs but, instead, it is based on a set of reference points (beacons). The presented approach results in a simple, fast, versatile dimensionality reduction approach with good quality of visualization and straightforward out-of-sample extension.

Download#### Paper Citation

#### in Harvard Style

Petrantonakis P. and Kompatsiaris I. (2020). **A Dimensionality Reduction Method for Data Visualization using Particle Swarm Optimization**. In *Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020) - Volume 1: ECTA*; ISBN 978-989-758-475-6, SciTePress, pages 131-138. DOI: 10.5220/0010020601310138

#### in Bibtex Style

@conference{ecta20,

author={Panagiotis C. Petrantonakis and Ioannis Kompatsiaris},

title={A Dimensionality Reduction Method for Data Visualization using Particle Swarm Optimization},

booktitle={Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020) - Volume 1: ECTA},

year={2020},

pages={131-138},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0010020601310138},

isbn={978-989-758-475-6},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computational Intelligence (IJCCI 2020) - Volume 1: ECTA

TI - A Dimensionality Reduction Method for Data Visualization using Particle Swarm Optimization

SN - 978-989-758-475-6

AU - Petrantonakis P.

AU - Kompatsiaris I.

PY - 2020

SP - 131

EP - 138

DO - 10.5220/0010020601310138

PB - SciTePress