Numeric Attributes:

Machine learning(4): Instance based learning
For example:
Machine learning(4): Instance based learning

Nominal Attributes

Machine learning(4): Instance based learning
When the value of i is same as the value of j, the nominal attribute is 1 and other situtaion is 0.

Distance Between Two Examples

Machine learning(4): Instance based learning

k-Nearest Neighbour

Machine learning(4): Instance based learning
Machine learning(4): Instance based learning
When the y is equal to z, the value of Q(y,z) is 1. If not, the value of Q is 0.

Distance Weighted Nearest Neighbour

Machine learning(4): Instance based learning
Machine learning(4): Instance based learning
Addding the distance is to calculate the weighted of nearest neighbour. The distance affects the value of Q.

Advantages of IBL

  1. Very good method of learning representations of complex functions.
  2. Simple representation .
  3. Fast learning .

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