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 ...
[view complete introduction]

US $
15

*(Excluding Mailing and Handling)



Summary and Future Directions

Pp. 113-120 (8)

Terje Kristensen

Abstract

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.

Affiliation:

Bergen University College, Bergen, Norway.