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3. Customer segmentation based on ant clustering algorithm

Author

Shao Liang-shan and Tian Yuanli

Subjects
Brown clustering, Computer science, business.industry, Ant colony optimization algorithms, Correlation clustering, MathematicsofComputing_NUMERICALANALYSIS, Machine learning, computer.software_genre, ComputingMethodologies_ARTIFICIALINTELLIGENCE, InformationSystems_GENERAL, Statistical classification, ComputingMethodologies_PATTERNRECOGNITION, CURE data clustering algorithm, Canopy clustering algorithm, FLAME clustering, Algorithm design, Data mining, Artificial intelligence, Hierarchical clustering of networks, business, Cluster analysis, computer, FSA-Red Algorithm
Abstract

In this paper, we introduce the ant clustering algorithm which is based on ant clustering behavior, and apply the ant clustering algorithm to the client type of data mining. On this basis, we propose a customer clustering algorithm which is based on ant colony algorithm and data mining technology, using this method to achieve the classification of customers.

Published
2010

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