Abstract
A new efficient optimization method, called ‘Teaching–Learning-Based Optimization (TLBO)’, has been proposed very recently for the optimization of mechanical design problems. This paper proposes a new approach to using TLBO to cluster data. It is shown how TLBO can be used to find the centroids of a user specified number of clusters. The new TLBO algorithms are evaluated on some datasets and compared to the performance of K-means and PSO clustering. Results show that TLBO clustering techniques have much potential.
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Satapathy, S.C., Naik, A. (2011). Data Clustering Based on Teaching-Learning-Based Optimization. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Satapathy, S.C. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2011. Lecture Notes in Computer Science, vol 7077. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27242-4_18
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DOI: https://doi.org/10.1007/978-3-642-27242-4_18
Publisher Name: Springer, Berlin, Heidelberg
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