Interpretable Market Segmentation on High Dimension Data

Interpretable Market Segmentation on High Dimension Data

Obtaining relevant information from the vast amount of data generated by interactions in a market or, in general, from a dyadic dataset, is a broad problem of great interest both for industry and academia. Also, the interpretability of machine learning algorithms is becoming increasingly relevant an...

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Bibliographic Details
Main Authors: Carlos Eiras-Franco, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Antonio Bahamonde
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Proceedings
Subjects:
market segmentation
interpretability
Explainability
scalability
Machine Learning
Big Data
Online Access:http://www.mdpi.com/2504-3900/2/18/1171

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