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 ...

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 ...

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 ...

In recent years, Recommender Systems (RS) have experienced significant growth across various sectors. Because of the recent growth of many e-commerce companies and online video services like Netflix, ...

Data clustering is a distinctive method for analyzing complex networks in terms of functional relationships of the comprising elements. A number of graph-based algorithms have been proposed so far to ...