Data-driven cluster analysis method: a novel outliers detection method in multivariate data-Reference-Cited by-同舟云学术

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Data-driven cluster analysis method: a novel outliers detection method in multivariate data

Published:2024-07-11 Issue: Volume: Page:1-21
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Duarte A. R.¹^ORCID,Barbosa J. J.¹^ORCID,Martins H. S. R.¹^ORCID,Oliveira F. L. P.¹^ORCID

Affiliation:

1. Statistics Department, Universidade Federal de Ouro Preto, Ouro Preto, Brazil

Funder

UFOP

CNPq

FAPEMIG (Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2024.2376872

Reference48 articles.

1. An Introduction to Outlier Analysis

2. A Novel Outlier Detection Method for Multivariate Data

3. A performance evaluation in multivariate outliers identification methods;Barbosa J. J.;Ciência & Natura,2020

4. A proposal for identifying multivariate outliers;Barbosa J. J.;Ciência & Natura,2018

5. Barnett, V., and T. Lewis. 1994. Outliers in statistical data. New York, United States: John Wiley & Sons.

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