0
$\begingroup$

I have recently been learning about the various clustering methods, and I decided to apply Furthest Point clustering in Weka with varying seed values.

The seed value dictates the initial choice of points in the data set. It can't be totally random, since repeatedly doing the clustering with, say, seed = 3 gives the same result.

How does it select data points based on the seed?

$\endgroup$
1
  • $\begingroup$ Why the downvote? $\endgroup$
    – ODP
    Nov 29, 2017 at 14:22

1 Answer 1

0
$\begingroup$

Pseudo-random number generators are initialized with a seed.

There is little real randomness available. Most just looks random to us, because the pattern is too complex. Read up some examples on pseudo random number generation such ad Mersenne Twisters.

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct.

Not the answer you're looking for? Browse other questions tagged or ask your own question.