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We posed a hypothesis that application of cluster validity indexes could serve us in this endeavor.
The proposed method is able to admit various cluster validity indexes as objective function for optimization.
Five cluster validity indexes turned out to be especially valuable in our study.
Table 7 ASP, ACP, and DER results obtained using PSO and DE algorithms with different selection modes and with different clustering validity indexes (DB and CS indexes).
In this work, we have used EAs at the aim to optimize the generated clusters and the required number of clusters by estimating and minimizing the clustering validity indexes (criteria).
In this work, we have used both GA binary and real-coded representations beside different variation of the major control parameters like selection, crossover, and different distance measures of the fitness function using WCD, DB, and CD clustering validity indexes.
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The content validity index has been validated by experts in the field and evaluated for face validity.
A cluster validity index is used to validate the outcome.
Content validity index.
Content validity index of 0.802 was computed.
Results: The content validity index was 0.88.
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