1️⃣ Customer Segmentation
- Groups customers based on age, income, spending behavior, etc.
- Helps businesses understand different customer types.
- Used in marketing and sales.
2️⃣ Image Segmentation
- Groups similar pixels in an image.
- Used to separate objects from background.
- Applied in computer vision and image processing.
3️⃣ Document and Text Clustering
- Groups similar documents or articles together.
- Used in search engines and news categorization.
- Helps in organizing large text data.
4️⃣ Market Basket Analysis
- Groups customers based on purchase patterns.
- Helps retailers recommend products.
- Used in e-commerce platforms.
5️⃣ Social Network Analysis
- Identifies communities or groups with similar interests.
- Used in friend suggestions and group recommendations.
6️⃣ Medical Data Analysis
- Groups patients based on symptoms or medical records.
- Helps in identifying disease patterns.
- Used in healthcare research.
7️⃣ Anomaly Detection (Basic)
- Helps identify unusual data points.
- Used in fraud detection and network security.
8️⃣ Geographical Data Analysis
- Groups locations based on distance and features.
- Used in city planning, weather analysis, and location-based services.