TASK-10-ST2021

Machine_Learning:

  • Supervised learning — the machine is presented with a set of inputs and expected outputs, later given a new input the output is predicted.
  • Unsupervised learning — the machine aims to find patterns, within a dataset without explicit input from a human as to what these patterns might look like.

Clustering

k-means

  • The number of clusters (k) must be given explicitly. In some cases, the number of different groups is unknown.
  • k-means iterative nature might lead to an incorrect result due to convergence to a local minimum.
  • The clusters are assumed to be spherical.

OPTICS

Dimensionality Reduction

  • Selecting from the existing features (feature selection)
  • Extracting new features by combining the existing features (feature extraction)

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