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Now we are going to understand what a cluster is and how to use it in Python. We will explore the concept of clustering, which involves grouping a set of objects in such a way that objects in the same group (or cluster) are more similar to each other than to those in other groups. Additionally, we will demonstrate how to implement clustering algorithms using Python's popular libraries, such as scikit-learn, to identify patterns and insights within your data.
Import Necessary Libraries and Data
Declare Feature Vector and Target Variable
Convert Categorical Variables into Integers
K-Means Model with Two Clusters
Check the Quality of Classification by the Model
K-Means Model with 4 Clusters
