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.
