CUSTOMER SEGMENTATION USING MACHINE LEARNING TECHNIQUES
R. Amrutha, Department of Information Science and Engineering, AMC Engineering College, Bangalore
DOI: https://doi.org/10.63712/bpsrj-v2i1p002
ABSTRACT:
Customer segmentation plays a critical role in enabling organizations to deliver personalized financial products and services. This study presents a machine learning–driven framework for segmenting customers based on demographic attributes, transactional behavior, and usage patterns. The proposed system employs clustering algorithms such as K-means, Gaussian Mixture Models, DBSCAN, spectral clustering, and agglomerative clustering to identify meaningful customer groups