Abstract
Ant colony algorithm is a kind of evolutionary algorithm with global optimization quality to deal with discrete problem. Clustering analysis is an important part in data mining community. Traditional clustering algorithm is slow of the convergence and sensitive to the initial value and preset classed in large scale data set. The ant colony algorithm was applied in aggregation analysis for the first time in this paper. A new clustering algorithm was presented based on the ant colony algorithm. This algorithm has quality of essential parallel, quick convergence and high effectiveness. The experimental result shows that it is about 10% higher than the c-means method in effectiveness.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
