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What is set.seed () in R? why is it used in regression and k-means clustering?
What is set.seed () in R? why is it used in regression and k-means clustering?
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Log in to answerBest Answer · By JanBask Salesforce Expert
Answered on Jul 29, 2021
Let me explain this issue in simple words,
set seed (value) where value specifies the initial value of the random number seed.
Syntax: set.seed(123)
In the above line,123 is set as the random number value.
The main point of using the seed is to be able to reproduce a particular sequence of 'random' numbers. and sed(n) reproduces random numbers results by seed.
For more information about set.seed in r read the pdf of a few pages that explains all about set.seed in r in detail.
https://www.stata.com/manuals13/rsetseed.pdf
When the k-means clustering algorithm runs, set.seed() is used as a randomly generated seed to determine the starting centroids of the clusters. k-means-clustering-effect-of-random-seed
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