Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms

Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms

In today’s data-driven business landscape, effective customer segmentation is crucial for enhancing engagement, loyalty, and profitability. Traditional clustering methods often struggle with datasets containing both numerical and categorical variables, leading to suboptimal segmentation. This study...

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Bibliographic Details
Main Authors: Chukwutem Pinic Ufeli, Mian Usman Sattar, Raza Hasan, Salman Mahmood
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Information
Subjects:
customer segmentation
FAMD
K-means
agglomerative clustering
silhouette score
mixed data analysis
Online Access:https://www.mdpi.com/2078-2489/16/6/441
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