NP-hardness of Euclidean sum-of-squares clustering

  • Authors:
  • Daniel Aloise;Amit Deshpande;Pierre Hansen;Preyas Popat

  • Affiliations:
  • École Polytechnique de Montréal, Montreal, Canada H3C 3A7;Microsoft Research India, Bangalore, India 560 080;GERAD and HEC Montréal, Montreal, Canada H3T 2A7;Chennai Mathematical Institute, Siruseri, India 603103

  • Venue:
  • Machine Learning
  • Year:
  • 2009

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Abstract

A recent proof of NP-hardness of Euclidean sum-of-squares clustering, due to Drineas et al. (Mach. Learn. 56:9---33, 2004), is not valid. An alternate short proof is provided.