Which technique is commonly used for clustering data in a database?
- Indexing
- K-means clustering
- Normalization
- Sorting
K-means clustering is a commonly used technique for clustering data in a database. It is an unsupervised learning algorithm that partitions data into k clusters based on their attributes' similarity. K-means clustering is widely used for data analysis and segmentation tasks.
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