Computational Intelligence, Evolutionary Computing and Evolutionary Clustering Algorithms

Summary and Future Directions

Author(s): Terje Kristensen

Pp: 113-120 (8)

DOI: 10.2174/9781681082998116010011

* (Excluding Mailing and Handling)


In this chapter we make a summary of how to optimize the K-means clustering algorithm based on evolutionary computing. The system is still missing a user interface to handle invalid user input. Parallel coordinates that may be used as a tool to visualize data in high-dimensional spaces is only given a short introduction. In addition, Particle Swarm Optimization (PSO) is also mentioned to find global solutions to optimization problems.

Keywords: Clustering metric, Invalid cluster structures, Overplotting, Parallel coordinates, PSO.

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