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Paper Information

Journal:   JOURNAL OF BUSINESS ADMINISTRATION RESEARCH   FALL 2016-WINTER 2017 , Volume 8 , Number 16 ; Page(s) 17 To 36.
 
Paper: 

MARKET CLUSTERING WITH THE ANT COLONY OPTIMIZATION ALGORITHM: A COMPARATIVE APPROACH WITH K-MEANS)

 
 
Author(s):  ZARE AHMADABADI HABIB*, RAFIEI OMAM MAHBOOBEH, NASER SADRABADI ALIREZA
 
* FACULTY OF MANAGEMENT, YAZD UNIVERSITY
 
Abstract: 

Nowadays, the ability of organizations has increased to identify target markets with data mining techniques. Clustering is a method in which a cluster of objects is made somehow similar to characteristics. In a market segmentation process, customers are segmented such that the customers of the same type are placed in the same group, and various groups have minimal affinity. Then, a marketing strategy should be matched to the specifications of these groups. With larger databases, researchers attempt to focus on finding effective clustering methods in order to make effective decisions. In this paper, we cluster the trail markets in Iran with the ant colony optimization algorithm, and, to further investigate the accuracy of this model, we compared the results with a classic clustering K-Mean. The paper presents an ant colony optimization methodology for optimal clustering of N objects into K clusters. The results show the higher accuracy of the ant colony optimization.

 
Keyword(s): MARKET SEGMENTATION, CLUSTERING, META HEURISTIC ALGORITHM, ANT COLONY OPTIMIZATION (ACO)
 
 
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APA: Copy

ZARE AHMADABADI, H., & RAFIEI OMAM, M., & NASER SADRABADI, A. (2017). MARKET CLUSTERING WITH THE ANT COLONY OPTIMIZATION ALGORITHM: A COMPARATIVE APPROACH WITH K-MEANS). JOURNAL OF BUSINESS ADMINISTRATION RESEARCH, 8(16 ), 17-36. https://www.sid.ir/en/journal/ViewPaper.aspx?id=572642



Vancouver: Copy

ZARE AHMADABADI HABIB, RAFIEI OMAM MAHBOOBEH, NASER SADRABADI ALIREZA. MARKET CLUSTERING WITH THE ANT COLONY OPTIMIZATION ALGORITHM: A COMPARATIVE APPROACH WITH K-MEANS). JOURNAL OF BUSINESS ADMINISTRATION RESEARCH. 2017 [cited 2021July29];8(16 ):17-36. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=572642



IEEE: Copy

ZARE AHMADABADI, H., RAFIEI OMAM, M., NASER SADRABADI, A., 2017. MARKET CLUSTERING WITH THE ANT COLONY OPTIMIZATION ALGORITHM: A COMPARATIVE APPROACH WITH K-MEANS). JOURNAL OF BUSINESS ADMINISTRATION RESEARCH, [online] 8(16 ), pp.17-36. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=572642.



 
 
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