What is Mini-Batch K-Means?
Updated May 15, 2026
Short answer
Mini-batch KMeans uses small batches for faster clustering.
Deep explanation
It approximates standard KMeans using subsets of data.
Real-world example
Large-scale user clustering in social media.
Common mistakes
- Assuming same accuracy as full KMeans.
Follow-up questions
- Why use it?
- Tradeoff?