This project is a small clustering exercise in which we use KNN algorithm to cluster customers of a mall based on their age, annual income, and spending score. The data is stored in a CSV file named ...

K-Means Clustering Algorithm: This project implements the K-Means clustering algorithm to segment customers based on their Age, Annual Income, and Spending Score. The analysis and visualization help ...

Also, use Python libraries such as matplotlib, seaborn, plotly, or scikit-plot to create custom cluster visualizations. This will help you communicate the meaning and significance of your clusters ...

In this study, the K-nearest neighbor and hierarchical clustering techniques are used to create a movie recommendation system. This work develops recommender systems using a range of instruments and ...