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Clustering for Product Managers [ 4.C / 8 ]
In this Module, we will learn the following things
1️⃣ — What is Clustering?✔️
2️⃣ — How Clustering Works: A Real-Life Analogy✔️
3️⃣ — Types of Clustering Algorithms & Real-World Use Cases of Clustering✔️
4️⃣ — How Product Managers Use Clustering in Product Strategy✔️
Download Tech for Product Managers Here 📁. → Very Easy to Understand
1. What is Clustering? ♟
Clustering is an unsupervised machine learning technique used to group similar data points into clusters, or natural groups.
Unlike supervised learning, clustering doesn’t require labeled data.
Instead, the algorithm analyzes patterns within the dataset and identifies meaningful clusters based on similarity metrics.
Each cluster contains data points that are more similar to each other than to those in other clusters.
Example: In an e-commerce platform, clustering can help you group customers based on purchasing behavior, such as budget-conscious buyers, premium shoppers, or seasonal buyers.
