Visual clustering method using genetic algorithm and image manipulation

• Main Authors: Marung U., Theera-Umpon N., Auephanwiriyakul S.
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Online Access: http://www.scopus.com/inward/record.url?eid=2-s2.0-84857264400&partnerID=40&md5=bbc0dfb89ea8ba723b6acf39fff4c913; http://cmuir.cmu.ac.th/handle/6653943832/1527
• Institution: Chiang Mai University

Clustering method has been applied in many fields, including data mining, machine learning, information retrieval, and image analysis. In this paper, we propose a visual clustering method based on the genetic algorithm (GA) and image manipulation. The proposed method automatically determines the number of clusters in a binary image without using distance measures. There are three processes of the proposed method, i.e., creating the object table, mapping the object table into a binary image, and clustering objects in the binary image by using the GA and image manipulation. The effectiveness of the proposed method is tested on both synthetic data sets and a real data set. The experimental results show that the proposed method can effectively construct the clusters in both synthetic and real data sets. © 2011 IEEE.