A new image clustering algorithm based on Local Linear Pea and Simulated Annealing

摘要：

In this paper, a new clustering algorithm is introduced. The algorithm combines the local linear pea with simulated annealing to cluster the image database. The algorithm cans efficient resolve the local extremism trap for traditional cluster algorithm and improve the clustering algorithm for reduce image feature. Through the experiment; we can deduce that the algorithm has obvious advantage than the local linear pea algorithm.

关键词： component clustering algorithm Local linear pea simulated annealing

作者: Yu Wang Xiao Xian Su Chao Tang Li Liu Ying Yang

作者单位: School of Information Engineering Wu Han University of Technology WuHan, China

会议类型: 国际会议

会议名称: 2012 International Conference on Electric Technology and Civil Engineering(2012 电子技术与土木工程国际会议 ICETCE 2012)

会议地点: 三峡

会议语种:英文

页码: 490-493

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）