Clustering techniques and innovation-based comparison in Londrina and Region companies

Clustering techniques and innovation-based comparison in Londrina and Region companies

Innovation is often considered a cornerstone for success across various companies. However, research focused on measuring and describing innovation frequently relies on classical statistical techniques. In this context, this study applied unsupervised machine learning techniques to cluster companie...

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Bibliographic Details
Main Authors: Ana Paula Barbosa de Morais, Matheus Santos Dias, Bruno Samways dos Santos, Rafael Henrique Palma Lima, Pedro Rochavetz de Lara Andrade
Format: Article
Language:English
Published: Universidade Estadual de Londrina 2024-05-01
Series:Semina: Ciências Exatas e Tecnológicas
Subjects:
innovation
clustering
k-means
hierarchical clustering
Online Access:https://ojs.uel.br/revistas/uel/index.php/semexatas/article/view/49522

Internet

https://ojs.uel.br/revistas/uel/index.php/semexatas/article/view/49522

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