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Improving the Efficiency of the K-medoids Clustering Algorithm by Getting Initial Medoids.

Joaquín Pérez OrtegaNelva Nely Almanza OrtegaJessica Adams-LópezMoisés González-GarcíaAdriana MexicanoSocorro Sáenz-SánchezJosé María Rodríguez-Lelis
Published in: WorldCIST (1) (2017)
Keyphrases
  • clustering algorithm
  • clustering method
  • computational complexity
  • computational efficiency
  • data reduction
  • real time
  • data sets
  • database systems
  • high dimensional
  • initial set