Genetic programming has been used to perform feature construction on data to increase clustering performance. However, existing work has not focused on ...
Clustering is an important technique for understanding the structure of data. Clustering algorithms work by assigning each instance of a dataset to a cluster.
Genetic programming has been used to perform feature construction on data to increase clustering performance. However, existing work has not focused on ...
May 14, 2020 · This thesis provides the first comprehensive investigation into the use of evolutionary feature manipulation for unsupervised learning tasks. It ...
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Can genetic algorithm be used as clustering technique?
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Dec 1, 2020 · In this article, we propose a new approach to automatically evolving similarity functions for a given clustering algorithm by using genetic ...
Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming. Finn Schofield, and Andrew Lensen. In Proceedings of the IEEE Congress ...
We consider a simple feature construction scheme using three different GP algorithms, as well as random search, to evolve features for five ML algorithms, ...
Synthetic datasets play an important role in evaluating clustering algorithms, as they can help shed light on consistent biases, strengths, and weaknesses ...
Aug 13, 2021 · e.g. clustering. This paper explores using GP to evolve new dissimilarity functions for clustering problems, using the features of the two
Evolving Simpler Constructed Features for Clustering Problems with Genetic Programming. Conference Paper. Full-text available. May 2020. Finn ...