Kmeans Clustering Method

The video tutorial introduces the concept of clustering using the K-means algorithm, explaining how to group data based on variables like age and income. It covers data preparation, visualization, and the importance of standardization for better results. The tutorial demonstrates applying K-means, analyzing clusters, and finding the optimal number of clusters using the elbow method. It emphasizes the significance of preprocessing and scaling data to improve algorithm performance.

What new insight or understanding did you gain from this video?

Evaluate responses using AI:

OFF