Computational Intelligence, Evolutionary Computing and Evolutionary Clustering Algorithms

Author(s): Terje Kristensen

DOI: 10.2174/9781681082998116010010

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Pp: 105-112 (8)

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Abstract

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.

Keywords:

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

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