The correlation analysis helps to identify and develop
a) k means clustering
K-Means Clustering is the unsupervised learning algorithm that is used to solve the clustering problems in machine learning, artificial intelligence or data science.
It allows us to cluster the data into the different groups and a convenient way to discover the categories of the groups in the unlabeled dataset on its own without the need for any training.
It groups the unlabeled dataset into different clusters. Here K defines the number of the pre-defined clusters that need to be created in the process, as if K=2, there will be two clusters, and for K=3, there will be three clusters, and so on.
Hence, the correct option is a) k means clustering
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