Computational Intelligence, Evolutionary Computing and Evolutionary Clustering Algorithms

This brief text presents a general guideline for writing advanced algorithms for solving engineering and data visualization problems. The book starts with an introduction to the concept of ...
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Summary and Future Directions

Pp. 113-120 (8)

Terje Kristensen


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.


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


Bergen University College, Bergen, Norway.