About this document
Unsupervised Learning in Machine Learning by devangverma2025 is a document available to read on EtoBox.
Unsupervised learning is a machine learning approach that analyzes unlabeled data to identify patterns and relationships without prior knowledge. Key algorithms include clustering, association rule learning, and dimensionality reduction, each serving various applications like customer segmentation, anomaly detection, and recommendation systems. K-means clustering is a popular unsupervised algorithm that partitions data into distinct clusters based on similarities, widely used in marketing, image compression
- Author
- devangverma2025
- Language
- EN