Oil Pipeline Work Conditions Clustering Based on Simulated Annealing K-Means Algorithm - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Yingchun Ye, Laibin Zhang, Wei Liang, Dongliang Yu, Zhaohui Wang. Oil Pipeline Work Conditions Clustering Based on Simulated Annealing K-Means Algorithm. In Mark Burgin, Masud H. Chowdhury, Chan H. Ham, Simone A. Ludwig, Weilian Su, Sumanth Yenduri, editors, CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31 - April 2, 2009, Los Angeles, California, USA, 7 Volumes. pages 646-650, IEEE Computer Society, 2009. [doi]

This author has not been identified. Look up 'Yingchun Ye' in GoogleThis author has not been identified. Look up 'Laibin Zhang' in GoogleThis author has not been identified. Look up 'Wei Liang' in GoogleThis author has not been identified. Look up 'Dongliang Yu' in GoogleThis author has not been identified. Look up 'Zhaohui Wang' in Google

runs on WebDSL