Clustering with PyCaret

One of the fundamental tasks in unsupervised machine learning is clustering. This task aims to categorize instances of a given dataset in different clusters based on their common characteristics. Clustering has many practical applications in various fields such as market research, social network analysis, bioinformatics, medicine, and others. The k-means clustering method is a simple and widely used method. It is defined in the following formula:

$$\min_{C_{1}, \ldots, C_{K}}\left\{\sum_{k=1}^{K} W(C_{k})\right\}$$ ...