@inproceedings{a4486ee08ce247b4af86d9937c857797,
title = "Pattern reduction enhanced ant colony optimization clustering algorithm",
abstract = "Ant Colony Optimization is the optimization method used for the analysis of the cluster. This method performs clustering data well. This method has limitations on computation time.This paper proposed a method of pattern reduction enhanced ant colony optimization to resolve the problem. Functions reduction pattern used to bypass loop system. This function ensures pheromone value if it meets certain iteration, so the next ant agent definitely choose the path that has been determined. The test is done through testing parameters and test accuracy. accuracy test compared with ant colony optimization method(ACO) with the results of the proposed method has the advantage of computing time. The test results show that the proposed method has 46 second faster than ACO method (73 second) for iris dataset, 141 second faster than ACO method (272 second) for wine dataset, and 150 second faster than ACO method (204 second) for synthetic dataset.",
keywords = "Clustering, Optimization, Pattern reduction enhanced ant colony algorithm",
author = "Hidayat, {Dwi Taufik} and Chastine Fatichah and Ginardi, {Raden Vinantius}",
year = "2017",
month = mar,
day = "7",
doi = "10.1109/ISEMANTIC.2016.7873858",
language = "English",
series = "Proceedings - 2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "317--322",
booktitle = "Proceedings - 2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016",
address = "United States",
note = "2016 International Seminar on Application of Technology for Information and Communication, ISEMANTIC 2016 ; Conference date: 05-08-2016 Through 06-08-2016",
}