{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T10:31:46Z","timestamp":1774693906063,"version":"3.50.1"},"reference-count":26,"publisher":"SAGE Publications","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2023,10,4]]},"abstract":"<jats:p>In marketing, customer segmentation is a very critical element. This paper focuses on clustering algorithms. First, the commonly used K-means algorithm was introduced, and then, it was optimized using the improved Lion Swarm Optimization (ILSO) algorithm and the Calinski-Harabasz (CH) index. The results of the experiment for the UCI dataset showed that the CH indicator obtained an accurate number of clusters, and the clustering accuracy of the ILSO-K-means algorithm was higher, both above 90%. Then, in customer segmentation, the customers of an enterprise were divided into four groups using the ILSO-K-means algorithm, and different marketing suggestions were given. The experimental analysis proves the usability of the ILSO-K-means algorithm in customer segmentation, which can be further applied in practice.<\/jats:p>","DOI":"10.3233\/jifs-232589","type":"journal-article","created":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T12:05:54Z","timestamp":1689681954000},"page":"5441-5448","source":"Crossref","is-referenced-by-count":2,"title":["Customer segmentation research in marketing through clustering algorithm analysis"],"prefix":"10.1177","volume":"45","author":[{"given":"Yulan","family":"Zheng","sequence":"first","affiliation":[{"name":"College of Economic and Management, Fuzhou University, Fuzhou, Fujian, China"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-232589_ref1","first-page":"70","article-title":"Digital, Social Media, and Mobile Marketing in industrial buying: Still in need of customer segmentation?","volume":"73","author":"Mueller","year":"2018","journal-title":"Empirical evidence from Poland and Germany, Industrial Marketing Management"},{"key":"10.3233\/JIFS-232589_ref2","doi-asserted-by":"crossref","unstructured":"Abdurrahman C. Agarwal and Lokesh K.R. , Architecture for Evaluating Customer Retention Strategies, ECS Transactions 107 (2022).","DOI":"10.1149\/10701.1569ecst"},{"key":"10.3233\/JIFS-232589_ref3","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.jretconser.2017.11.012","article-title":"Customer segmentation with purchase channels and media touchpoints using single source panel data","volume":"41","author":"Nakano","year":"2018","journal-title":"Journal of Retailing and Consumer Services"},{"key":"10.3233\/JIFS-232589_ref4","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1109\/TKDE.2017.2763620","article-title":"PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data","volume":"30","author":"Chen","year":"2018","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"10.3233\/JIFS-232589_ref5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1142\/S0218001419590171","article-title":"WHO: A New Evolutionary Algorithm Bio-Inspired by Wildebeests with a Case Study on Bank Customer Segmentation","volume":"33","author":"Motevali","year":"2019","journal-title":"International Journal of Pattern Recognition & Artificial Intelligence"},{"key":"10.3233\/JIFS-232589_ref6","doi-asserted-by":"crossref","first-page":"23","DOI":"10.4018\/IJBAN.2019040102","article-title":"A Novel Approach for the Customer Segmentation Using Clustering Through Self-Organizing Map","volume":"6","author":"Barman","year":"2019","journal-title":"International Journal of Business Analytics (IJBAN)"},{"key":"10.3233\/JIFS-232589_ref7","first-page":"32","article-title":"A Sentiment Analysis Based Approach for Customer Segmentation","volume":"16","author":"Bhatnagar","year":"2022","journal-title":"Recent Patents on Engineering"},{"key":"10.3233\/JIFS-232589_ref8","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1109\/ITCA52113.2020.00053","article-title":"Order Batch Optimization Strategy Based on Improved K-Means Clustering Algorithm","author":"Ping","year":"2020","journal-title":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)"},{"key":"10.3233\/JIFS-232589_ref9","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1142\/S021848852340007X","article-title":"Enhancement of Kernel Clustering Based on Pigeon Optimization Algorithm","volume":"31","author":"Thamer","year":"2023","journal-title":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems"},{"key":"10.3233\/JIFS-232589_ref10","doi-asserted-by":"crossref","first-page":"278","DOI":"10.22266\/ijies2019.0430.27","article-title":"Text Clustering Algorithm Using Fuzzy Whale Optimization Algorithm","volume":"12","author":"Gopal","year":"2019","journal-title":"International Journal of Intelligent Engineering and Systems"},{"key":"10.3233\/JIFS-232589_ref11","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1007\/s40815-020-00997-5","article-title":"Optimization of Fuzzy C-Means Clustering Algorithm with Combination of Minkowski and Chebyshev Distance Using Principal Component Analysis","volume":"23","author":"Surono","year":"2021","journal-title":"International Journal of Fuzzy Systems"},{"key":"10.3233\/JIFS-232589_ref12","first-page":"1","article-title":"E-Commerce Precision Marketing Model Based on Convolutional Neural Network","volume":"2022","author":"Liu","year":"2022","journal-title":"Scientific Programming"},{"key":"10.3233\/JIFS-232589_ref13","doi-asserted-by":"crossref","first-page":"818","DOI":"10.1016\/j.ipm.2017.10.005","article-title":"Big Data-enabled Customer Relationship Management: A holistic approach","volume":"54","author":"Zerbino","year":"2018","journal-title":"Information Processing & Management"},{"key":"10.3233\/JIFS-232589_ref14","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1177\/03611981211011992","article-title":"Passenger Expectations and Airport Service Quality: Exploring Customer Segmentation","volume":"2675","author":"Bezerra","year":"2021","journal-title":"Transportation Research Record"},{"key":"10.3233\/JIFS-232589_ref15","first-page":"1","article-title":"Customer Segmentation using K-Means Clustering","author":"Saini","year":"2022","journal-title":"2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)"},{"key":"10.3233\/JIFS-232589_ref16","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1504\/IJBIDM.2022.123218","article-title":"Customer segmentation using various machine learning techniques","volume":"20","author":"Othayoth","year":"2022","journal-title":"International Journal of Business Intelligence and Data Mining"},{"key":"10.3233\/JIFS-232589_ref17","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1108\/IJRDM-06-2017-0130","article-title":"Customer online shopping experience data analytics: Integrated customer segmentation and customised services prediction model","volume":"46","author":"Wong","year":"2018","journal-title":"International Journal of Retail & Distribution Management"},{"key":"10.3233\/JIFS-232589_ref18","first-page":"1","article-title":"Data Mining Approach for Customer Segmentation in B2B Settings using Centroid-Based Clustering","author":"Maulina","year":"2019","journal-title":"2019 16th International Conference on Service Systems and Service Management (ICSSSM)"},{"key":"10.3233\/JIFS-232589_ref19","doi-asserted-by":"crossref","first-page":"1207","DOI":"10.1016\/j.procs.2019.04.173","article-title":"Rules Extraction for Customer Segmentation in the SMEs Sector Using the Apriori Algorithm","volume":"151","author":"Silva","year":"2019","journal-title":"Procedia Computer Science"},{"key":"10.3233\/JIFS-232589_ref20","doi-asserted-by":"crossref","first-page":"25","DOI":"10.30595\/juita.v9i1.7983","article-title":"Data Mining for Potential Customer Segmentation in the Marketing Bank Dataset","volume":"9","author":"Fitriani","year":"2021","journal-title":"JUITA Jurnal Informatika"},{"key":"10.3233\/JIFS-232589_ref21","first-page":"1","article-title":"Analysis of fMRI Signals from Working Memory Tasks and Resting-State of Brain: Neutrosohic-Entropy-BasedClustering Algorithm","volume":"32","author":"Pritpal","year":"2022","journal-title":"International Journal of Neural Systems"},{"key":"10.3233\/JIFS-232589_ref22","first-page":"233","article-title":"Application of self-organizing map (SOM) and K-means clustering algorithms for portraying geochemical anomaly patterns in Moalleman district, NE Iran","author":"Bigdeli","year":"2022","journal-title":"Journal of Geochemical Exploration: Journal of the Association of Exploration Geochemists"},{"key":"10.3233\/JIFS-232589_ref23","first-page":"1","article-title":"Optimization of K-means Algorithm Base on Map Reduce","volume":"1881","author":"Huang","year":"2021","journal-title":"Journal of Physics: Conference Series"},{"key":"10.3233\/JIFS-232589_ref24","doi-asserted-by":"crossref","first-page":"751","DOI":"10.23919\/JSEE.2020.000050","article-title":"Parallel discrete lion swarm optimization algorithm for solving traveling salesman problem","volume":"31","author":"Zhang","year":"2020","journal-title":"Journal of Systems Engineering and Electronics"},{"key":"10.3233\/JIFS-232589_ref25","doi-asserted-by":"crossref","first-page":"97","DOI":"10.5335\/rbca.v12i3.11117","article-title":"A genetic algorithm using Calinski-Harabasz index for automatic clustering problem","volume":"12","author":"Lima","year":"2020","journal-title":"Revista Brasileira de Computa\u00e7\u00e3o Aplicada"},{"key":"10.3233\/JIFS-232589_ref26","first-page":"1","article-title":"A review of data mining methods in RFM-based customer segmentation","volume":"1869","author":"Ernawati","year":"2021","journal-title":"Journal of Physics: Conference Series"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-232589","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T08:21:22Z","timestamp":1769674882000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JIFS-232589"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,4]]},"references-count":26,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.3233\/jifs-232589","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,4]]}}}