Linearly Decreasing Weight Particle Swarm Optimization with Accelerated Strategy for Data Clustering
Clustering technique helps effectively to simplify the complexity of a large amount of data and identify the structure between data to data. It is a common technique for statistical data analysis that is used in many fields, e.g., machine learning, data mining, pattern recognition, image analysis, and bioinformatics. The distribution of information can be in different sizes or shapes. An improved technique combines the Linearly Decreasing Weight Particle Swarm Optimization (LDWPSO) and an acceleration strategy is proposed in this paper.