Data Clustering Based on Teaching-Learning-Based Optimization

  • Suresh Chandra Satapathy
  • Anima Naik
Conference paper

DOI: 10.1007/978-3-642-27242-4_18

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7077)
Cite this paper as:
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

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.

Keywords

Clustering Optimization TLBO 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Suresh Chandra Satapathy
    • 1
  • Anima Naik
    • 2
  1. 1.Anil Neerukonda Institute of Technology and SciencesVishakapatnamIndia
  2. 2.Majhighariani Institute of Technology and SciencesRayagadaIndia

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