Share Email Print
cover

Proceedings Paper

Application of clustering for customer segmentation in private banking
Author(s): Xuan Yang; Jin Chen; Pengpeng Hao; Yanbo J. Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

With fierce competition in banking industry, more and more banks have realised that accurate customer segmentation is of fundamental importance, especially for the identification of those high-value customers. In order to solve this problem, we collected real data about private banking customers of a commercial bank in China, conducted empirical analysis by applying K-means clustering technique. When determine the K value, we propose a mechanism that meet both academic requirements and practical needs. Through K-means clustering, we successfully segmented the customers into three categories, and features of each group have been illustrated in details.

Paper Details

Date Published: 6 July 2015
PDF: 6 pages
Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96311Z (6 July 2015); doi: 10.1117/12.2197182
Show Author Affiliations
Xuan Yang, Univ. of International Business and Economics (China)
Jin Chen, Univ. of International Business and Economics (China)
Pengpeng Hao, China Minsheng Banking Corp., Ltd. (China)
Institute of Finance and Banking (China)
Yanbo J. Wang, China Minsheng Banking Corp., Ltd. (China)
Intsitute of Finance and Banking (China)


Published in SPIE Proceedings Vol. 9631:
Seventh International Conference on Digital Image Processing (ICDIP 2015)
Charles M. Falco; Xudong Jiang, Editor(s)

© SPIE. Terms of Use
Back to Top