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Which criteria to use while Evaluating minimum number of cluster before k-means ?

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Hi Matlabers,
During evaluating mimimum number of clusters of specific dataset, how to choos the criteria among following ?
The function name is "evalclusters". We have to choose one critera from following _
1.DaviesBouldin
2. CalinskiHarabasz
3.gap
How to decide one citeria for the evaluation ?
Regards,
Koustubh

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Accepted Answer

Jalaj Gambhir
Jalaj Gambhir on 8 Apr 2020
Hi,
What criteria would work best for you totally depends on the data you are using. You need to try different criteria values and/or read more about how they are working. You can read more about the methods here.
  1. Gap criteria
  2. Davies-Bouldin Criterion
  3. Calinski-Harabasz Criterion

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