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artificial-intelligenceunsupervised-learning

what is convergence in k Means?

I have a very small question related to unsupervised learning because my teacher have not use this word in any lectures. I got this word while reading tutorials. Does this mean if values are same to initial values in last iteration of clusters then it is called converge? for example 

      |  c1   |  c2  | cluster
      | (1,0) | (2,1)|
      |-------|------|------------
A(1,0)| ..    |..    |get smallest value
B(0,1)|..     |...   |
c(2,1)|..     |...   |
D(2,1)|..     |....  |

now after performing n-iteration and if values come same in both c1 and c2 that is (1,0) and (2,1) in last n-th iteration and taking avg if other than single , is it convergence?

Solution

  • Ideally, if the values in the last two consequent iterations are same then the algorithm is said to have converged. But often people use a less strict criteria for convergence, like, the difference in the values of last two iterations is less than a particular threshold etc,.