Data Clustering with Cat Swarm Optimization

Provided by: AICIT
Topic: Big Data
Format: PDF
In this paper, a recent metaheuristic method, cat swarm optimization, is introduced to find the proper clustering of data sets. Two clustering approaches based on cat swarm optimization called Cat Swarm Optimization Clustering (CSOC) and K-harmonic means Cat Swarm Optimization Clustering (KCSOC) are proposed. In the proposed methods, seeking mode and tracing mode are adopted to exploit and explore the solution space. In addition, K-Harmonic Means (KHM) operation is designed to refine the population and accelerate the convergence of the clustering algorithm.

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