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Dimensionality reduction is the process of reducing the number of features or dimensions in a dataset. This can be useful for reducing the complexity of a dataset and making it easier to work with.
A project to simulate QuineMcClusky process to do the following: 1- Generate and print all prime implicants using the Quine-McCluskey tabulation method. 2-obtain and print all the essential prime implicants. 3-Obtain the subset of the non-essential prime implicants needed to complete the solution.