An Explainable Artificial Intelligence Model for Clustering Numerical Databases

An Explainable Artificial Intelligence Model for Clustering Numerical Databases

Nowadays, the international scientific community of machine learning has an enormous campaign in favor of creating understandable models instead of black-box models. The main reason is that experts in the application area are showing reluctance due to black-box models cannot be understood by them, a...

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Bibliographic Details
Main Authors: Octavio Loyola-Gonzalez, Andres Eduardo Gutierrez-Rodriguez, Miguel Angel Medina-Perez, Raul Monroy, Jose Francisco Martinez-Trinidad, Jesus Ariel Carrasco-Ochoa, Milton Garcia-Borroto
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Explainable model
clustering
unsupervised decision trees
numerical databases
Online Access:https://ieeexplore.ieee.org/document/9035478/

Internet

https://ieeexplore.ieee.org/document/9035478/

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