"[SOLVED] k-means parameters"

MarcosRLMarcosRL Member Posts: 53 Contributor II
edited June 2019 in Help
Hello friends of the community a question.
I am studying the theory of the algorithm "k-means" to understand its inner workings and I have some concerns with some parameters that appear in rapid miner.
The parameter "determine good start values" what applies mathematical rule?
The parameter "Local use randon seed" what is the role?
The parameter "Max optimization steps" what applies mathematical rule?


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    MarcosRLMarcosRL Member Posts: 53 Contributor II
    any ideas ?
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    awchisholmawchisholm RapidMiner Certified Expert, Member Posts: 458 Unicorn

    "determine good start values" - if you hover your mouse pointer over the parameter you will get some additional text.
    "Local use randon seed" - this sets the random seed to a specific value so that all random numbers are generated in a reproducible way. The k-means algorithm chooses the initial cluster prototypes at random.
    "Max optimization steps" - this dictates the maximum number of steps the k-means algorithm should take before stopping as it tries to find the best cluster prototypes within a run (which is the max runs parameter)


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    MarcosRLMarcosRL Member Posts: 53 Contributor II
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