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Instance Based Learning

Hello every body,

can some one tell me what is exactly prototype and how can be computed for this data set?

Example   A     B     Class
1        true   1       +
2        false  3       +
3        true   5       +
4        false  2       -

Thanks in advance

machine learning

You're question is not clear. Please elaborate. What's the context ? What are you trying to do ?

Actually it was the exercise for machine learning course.I will copy the questions here.

Considering the data set:

  • Compute a prototype for all positive examples and a prototype for all negatives examples.
  • Classify (false,4) using the prototypes.

Prototype means something representative, an exemplar. Typically, this could be the average or the medoid of a data set. A naive classification scheme would be to associate a new instance to the same class as its nearest neighbour or to the class of the nearest prototype.

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