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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Pp. 105-112 (8)

Terje Kristensen


In this chapter we discuss different challenges of using evolutionary algorithms to optimize the K-means algorithm. One problem is how to handle empty clusters. In addition, the time complexity of the different algorithms is shown.


Convergence speed, Data representation, Empty clusters, Fitness measure, Invalid cluster structures, Time complexity.


Bergen University College, Bergen, Norway.