Code Generation Models
Machine Learning
A family of unsupervised learning methods that group similar data points into clusters.
Detailed Explanation
Clustering algorithms are unsupervised learning techniques used to organize data into groups or clusters based on similarity. They identify natural patterns within data without predefined labels, helping to uncover underlying structures or segments. Popular methods include K-means, hierarchical clustering, and DBSCAN. These algorithms are widely used in market segmentation, image analysis, and pattern recognition.
Use Cases
- •Segment customers for targeted marketing campaigns based on purchasing behavior clusters identified by clustering algorithms.
Related Terms
Other terms in the Machine Learning category