Python for Machine Learning - The Complete Beginners Course - Use Cases

The video tutorial introduces clustering, a technique used to group similar data. It highlights various applications such as data analysis, noise detection, and duplicate detection. The tutorial also previews upcoming lectures on clustering algorithms, including K-means, hierarchical, and density-based clustering.

What is the purpose of clustering in data analysis?

List some techniques where clustering can be applied.

How does clustering help in analyzing data from research?

What are some tasks that can be efficiently performed using clustering?

What are the different algorithms of clustering mentioned in the text?