A K-harmonic Means Clustering Algorithm Based on Enhanced Differential Evolution

• Published in: 2013 Fifth International Conference on Measuring Technology and Mechatronics Automation pp. 13 - 16
• Main Authors: Lidong Zhang, Li Mao, Huaijin Gong, Hong Yang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2013
• Subjects: Algorithm design and analysis; Clustering algorithms; Convergence; differential evolution; Heuristic algorithms; K-harmonic means; Laplace mutation operator; logarithmically crossover probability; Sociology; Statistics; Vectors

The conventional K-harmonic means is tend to be trapped by local optima. To resolve this problem, a novel K-harmonic means clustering algorithm using enhanced differential evolution technique is proposed. This algorithm improves the global search ability by applying Laplace mutation operator and log...