In many applications, the feature selection plays an important role as only when we can get the best feature, we can bring out accurate results. The features selected must represent the entire dataset. Here we have chosen the whale optimization algorithm for feature extraction. To the whale optimization algorithm, we have added the convergence function and the fitness function. The fitness function is used to check the accuracy of the algorithm. Here we also used the Minkowski distance between feature and the cluster centroid to group the common features together. Grouping of common features is useful in many applications like applying a common methodology to the similar feature, spam detection, email classification. This paper has proposed an algorithm which extracts the features by checking its accuracy with fitness function and clusters the common features using Minkowski distance and k clusters.