Table 3.

Analysis of gene expression datasets.

  • Unsupervised Learning

    • ♦ Data clustered according to intrinsic properties

    • ♦ Algorithms

      • ▪ Self-organizing maps (SOMs)

      • ▪ Hierarchical clustering

  • Supervised Learning

    • ♦ Model trained to distinguish between 2 classes

    • ♦ Algorithms

      • ▪ Weighted voting

      • ▪ k-NN

      • ▪ Support vector machines

      • ▪ IBM SPLASH

 
  • Unsupervised Learning

    • ♦ Data clustered according to intrinsic properties

    • ♦ Algorithms

      • ▪ Self-organizing maps (SOMs)

      • ▪ Hierarchical clustering

  • Supervised Learning

    • ♦ Model trained to distinguish between 2 classes

    • ♦ Algorithms

      • ▪ Weighted voting

      • ▪ k-NN

      • ▪ Support vector machines

      • ▪ IBM SPLASH

 
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