A Design of Experiments Comparative Study on Clustering Methods

A Design of Experiments Comparative Study on Clustering Methods

Cluster analysis is a multivariate data mining technique that is widely used in several areas. It aims to group automatically the n elements of a database into k clusters, using only the information of the variables of each case. However, the accuracy of the final clusters depends on the clustering...

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Bibliographic Details
Main Authors: Natalia Maria Puggina Bianchesi, Estevao Luiz Romao, Marina Fernandes B. P. Lopes, Pedro Paulo Balestrassi, Anderson Paulo De Paiva
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Clustering methods
design of experiments
K-means
self-organizing maps
ward
Online Access:https://ieeexplore.ieee.org/document/8901114/

Internet

https://ieeexplore.ieee.org/document/8901114/

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